8.6.3.4 Remote Sensing, Aerial Imagery, Semantic Segmentation

Chapter Contents (Back)
Semantic Segmentation. Remote Sensing.
See also Object Based Land Cover, Parcels, Region Based Land Cover, Land Use Analysis.
See also Semantic Segmentation, Label and Segment Together.
See also Neural Networks for Segmentation.
See also Neural Networks for Semantic Segmentation.
See also Weakly Supervised, Self Supervised Semantic Segmentation.

Zheng, C.[Chen], Zhang, Y.[Yun], Wang, L.G.[Lei-Guang],
Semantic Segmentation of Remote Sensing Imagery Using an Object-Based Markov Random Field Model With Auxiliary Label Fields,
GeoRS(55), No. 5, May 2017, pp. 3015-3028.
IEEE DOI 1705
Markov processes, image segmentation, remote sensing, auxiliary label field, hierarchical semantic information, object-based MRF model, object-based Markov random field model, probability distribution, remote sensing imagery, remote sensing images, semantic segmentation, Context, Context modeling, Image segmentation, Probability distribution, Remote sensing, Semantics, Spatial resolution, Auxiliary label field, object-based Markov random field, remote sensing image, semantic, segmentation BibRef

Zheng, C.[Chen], Pan, X.X.[Xin-Xin], Chen, X.H.[Xiao-Hui], Yang, X.H.[Xiao-Hui], Xin, X.[Xin], Su, L.M.[Li-Min],
An Object-Based Markov Random Field Model with Anisotropic Penalty for Semantic Segmentation of High Spatial Resolution Remote Sensing Imagery,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhang, J.[Jing], Lin, S.[Shaofu], Ding, L.[Lei], Bruzzone, L.[Lorenzo],
Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Ding, L., Tang, H., Bruzzone, L.,
LANet: Local Attention Embedding to Improve the Semantic Segmentation of Remote Sensing Images,
GeoRS(59), No. 1, January 2021, pp. 426-435.
IEEE DOI 2012
Semantics, Image segmentation, Feature extraction, Decoding, Remote sensing, Correlation, Convolutional neural networks, semantic segmentation BibRef

Li, J.L.[Jing-Lun], Xiu, J.P.[Jia-Peng], Yang, Z.Q.[Zheng-Qiu], Liu, C.[Chen],
Dual Path Attention Net for Remote Sensing Semantic Image Segmentation,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Song, A.[Ahram], Kim, Y.[Yongil],
Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous Big Data: International Society for Photogrammetry and Remote Sensing Potsdam and Cityscape Datasets,
IJGI(9), No. 10, 2020, pp. xx-yy.
DOI Link 2010
BibRef

Wang, J.X.[Jia-Xin], Ding, C.H.Q.[Chris H. Q.], Chen, S.B.[Si-Bao], He, C.G.[Cheng-Gang], Luo, B.[Bin],
Semi-Supervised Remote Sensing Image Semantic Segmentation via Consistency Regularization and Average Update of Pseudo-Label,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Xu, Z.Y.[Zhi-Yong], Zhang, W.C.[Wei-Cun], Zhang, T.X.[Tian-Xiang], Li, J.Y.[Jiang-Yun],
HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Li, Y.S.[Yan-Sheng], Chen, R.X.[Rui-Xian], Zhang, Y.J.[Yong-Jun], Zhang, M.[Mi], Chen, L.[Ling],
Multi-Label Remote Sensing Image Scene Classification by Combining a Convolutional Neural Network and a Graph Neural Network,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Ouyang, S.[Song], Li, Y.S.[Yan-Sheng],
Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery,
RS(13), No. 1, 2021, pp. xx-yy.
DOI Link 2101
BibRef

Chen, B.Y.[Bing-Yu], Xia, M.[Min], Huang, J.Q.[Jun-Qing],
MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Hu, K.[Kai], Li, M.[Meng], Xia, M.[Min], Lin, H.F.[Hai-Feng],
Multi-Scale Feature Aggregation Network for Water Area Segmentation,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Shen, X.[Xu], Weng, L.G.[Li-Guo], Xia, M.[Min], Lin, H.F.[Hai-Feng],
Multi-Scale Feature Aggregation Network for Semantic Segmentation of Land Cover,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Weng, L.G.[Li-Guo], Gao, J.H.[Jia-Hong], Xia, M.[Min], Lin, H.F.[Hai-Feng],
MSNet: Multifunctional Feature-Sharing Network for Land-Cover Segmentation,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Huang, J.Q.[Jun-Qing], Weng, L.G.[Li-Guo], Chen, B.Y.[Bing-Yu], Xia, M.[Min],
DFFAN: Dual Function Feature Aggregation Network for Semantic Segmentation of Land Cover,
IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Peng, J.[Jian], Mei, X.M.[Xiao-Ming], Li, W.B.[Wen-Bo], Hong, L.[Liang], Sun, B.Y.[Bing-Yu], Li, H.F.[Hai-Feng],
Scene Complexity: A New Perspective on Understanding the Scene Semantics of Remote Sensing and Designing Image-Adaptive Convolutional Neural Networks,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Zhang, C.[Cheng], Jiang, W.S.[Wan-Shou], Zhao, Q.[Qing],
Semantic Segmentation of Aerial Imagery via Split-Attention Networks with Disentangled Nonlocal and Edge Supervision,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Chen, X., Li, Z., Jiang, J., Han, Z., Deng, S., Li, Z., Fang, T., Huo, H., Li, Q., Liu, M.,
Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images,
GeoRS(59), No. 4, April 2021, pp. 3532-3546.
IEEE DOI 2104
Radio frequency, Convolution, Feature extraction, Image segmentation, Semantics, Remote sensing, Shape, Field of view, semantic contextual information BibRef

Cui, W.[Wei], He, X.[Xin], Yao, M.[Meng], Wang, Z.W.[Zi-Wei], Hao, Y.J.[Yuan-Jie], Li, J.[Jie], Wu, W.J.[Wei-Jie], Zhao, H.L.[Hui-Lin], Xia, C.[Cong], Li, J.[Jin], Cui, W.Q.[Wen-Qi],
Knowledge and Spatial Pyramid Distance-Based Gated Graph Attention Network for Remote Sensing Semantic Segmentation,
RS(13), No. 7, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Liu, Y.F.[Yi-Fan], Zhu, Q.G.[Qi-Gang], Cao, F.[Feng], Chen, J.[Junke], Lu, G.[Gang],
High-Resolution Remote Sensing Image Segmentation Framework Based on Attention Mechanism and Adaptive Weighting,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Yuan, J.L.[Jian-Long], Phan, M.H.[Minh Hieu], Liu, L.Y.[Li-Yang], Liu, Y.F.[Yi-Fan],
FAKD: Feature Augmented Knowledge Distillation for Semantic Segmentation,
WACV24(584-594)
IEEE DOI 2404
Training, Knowledge engineering, Upper bound, Codes, Semantic segmentation, Semantics, Algorithms, Image recognition and understanding BibRef

Yang, N.[Naisen], Tang, H.[Hong],
Semantic Segmentation of Satellite Images: A Deep Learning Approach Integrated with Geospatial Hash Codes,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Li, X.[Xin], Xu, F.[Feng], Xia, R.[Runliang], Lyu, X.[Xin], Gao, H.M.[Hong-Min], Tong, Y.[Yao],
Hybridizing Cross-Level Contextual and Attentive Representations for Remote Sensing Imagery Semantic Segmentation,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Tian, T.[Tian], Chu, Z.Q.[Zheng-Quan], Hu, Q.[Qian], Ma, L.[Li],
Class-Wise Fully Convolutional Network for Semantic Segmentation of Remote Sensing Images,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Liu, R.[Rui], Mi, L.[Li], Chen, Z.Z.[Zhen-Zhong],
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic Segmentation,
GeoRS(59), No. 9, September 2021, pp. 7871-7886.
IEEE DOI 2109
Image segmentation, Simultaneous localization and mapping, Adaptive systems, Semantics, Optical imaging, Labeling, semantic segmentation BibRef

Marsocci, V.[Valerio], Scardapane, S.[Simone], Komodakis, N.[Nikos],
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Sun, L.[Le], Song, X.B.[Xiang-Bo], Guo, H.X.[Hu-Xiang], Zhao, G.R.[Guang-Rui], Wang, J.[Jinwei],
Patch-Wise Semantic Segmentation for Hyperspectral Images via a Cubic Capsule Network with EMAP Features,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Dechesne, C.[Clément], Lassalle, P.[Pierre], Lefčvre, S.[Sébastien],
Bayesian U-Net: Estimating Uncertainty in Semantic Segmentation of Earth Observation Images,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Wei, H.R.[Hao-Ran], Xu, X.Y.[Xiang-Yang], Ou, N.[Ni], Zhang, X.R.[Xin-Ru], Dai, Y.P.[Ya-Ping],
DEANet: Dual Encoder with Attention Network for Semantic Segmentation of Remote Sensing Imagery,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Li, R.[Rui], Zheng, S.[Shunyi], Zhang, C.[Ce], Duan, C.X.[Chen-Xi], Wang, L.[Libo], Atkinson, P.M.[Peter M.],
ABCNet: Attentive bilateral contextual network for efficient semantic segmentation of Fine-Resolution remotely sensed imagery,
PandRS(181), 2021, pp. 84-98.
Elsevier DOI 2110
Semantic Segmentation, Attention Mechanism, Bilateral Architecture, Convolutional Neural Network, Deep Learning BibRef

Gu, Y.H.[Yu-Hang], Hao, J.[Jie], Chen, B.[Bing], Deng, H.[Hai],
Top-Down Pyramid Fusion Network for High-Resolution Remote Sensing Semantic Segmentation,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Chen, S.T.[Su-Ting], Wu, C.Q.[Chao-Qun], Mukherjee, M.[Mithun], Zheng, Y.J.[Yu-Jie],
HA-MPPNet: Height Aware-Multi Path Parallel Network for High Spatial Resolution Remote Sensing Image Semantic Segmentation,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Zi, W.J.[Wen-Jie], Xiong, W.[Wei], Chen, H.[Hao], Li, J.[Jun], Jing, N.[Ning],
SGA-Net: Self-Constructing Graph Attention Neural Network for Semantic Segmentation of Remote Sensing Images,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Zhao, X.[Xin], Guo, J.Y.[Jia-Yi], Zhang, Y.T.[Yue-Ting], Wu, Y.R.[Yi-Rong],
Memory-Augmented Transformer for Remote Sensing Image Semantic Segmentation,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Chen, G.Z.[Guan-Zhou], Tan, X.L.[Xiao-Liang], Guo, B.B.[Bei-Bei], Zhu, K.[Kun], Liao, P.[Puyun], Wang, T.[Tong], Wang, Q.[Qing], Zhang, X.D.[Xiao-Dong],
SDFCNv2: An Improved FCN Framework for Remote Sensing Images Semantic Segmentation,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Peng, C.L.[Cheng-Li], Zhang, K.N.[Kai-Ning], Ma, Y.[Yong], Ma, J.Y.[Jia-Yi],
Cross Fusion Net: A Fast Semantic Segmentation Network for Small-Scale Semantic Information Capturing in Aerial Scenes,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Semantics, Image segmentation, Feature extraction, Data mining, Convolution, Deep learning, Learning systems, Aerial image, small scale BibRef

Deng, G.H.[Guo-Hui], Wu, Z.C.[Zhao-Cong], Wang, C.J.[Cheng-Jun], Xu, M.[Miaozhong], Zhong, Y.F.[Yan-Fei],
CCANet: Class-Constraint Coarse-to-Fine Attentional Deep Network for Subdecimeter Aerial Image Semantic Segmentation,
GeoRS(60), 2022, pp. 1-20.
IEEE DOI 2112
Image segmentation, Semantics, Remote sensing, Libraries, Feature extraction, Automobiles, Training, Aerial imagery, semantic segmentation BibRef

Xu, Q.S.[Qing-Song], Yuan, X.[Xin], Ouyang, C.J.[Chao-Jun],
Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI 2112
Semantics, Image segmentation, Remote sensing, Adaptation models, Generative adversarial networks, Training, unsupervised domain adaptation (UDA) semantic segmentation BibRef

Liu, W.[Wei], Su, F.[Fulin], Jin, X.F.[Xin-Fei], Li, H.X.[Hong-Xu], Qin, R.J.[Rong-Jun],
Bispace Domain Adaptation Network for Remotely Sensed Semantic Segmentation,
GeoRS(60), 2022, pp. 1-11.
IEEE DOI 2112
Semantics, Feature extraction, Image segmentation, Wavelet domain, Generators, Training, Loss measurement, Adversarial learning, wavelet transform BibRef

Panboonyuen, T.[Teerapong], Jitkajornwanich, K.[Kulsawasd], Lawawirojwong, S.[Siam], Srestasathiern, P.[Panu], Vateekul, P.[Peerapon],
Transformer-Based Decoder Designs for Semantic Segmentation on Remotely Sensed Images,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Wang, L.[Libo], Zhang, C.[Ce], Li, R.[Rui], Duan, C.X.[Chen-Xi], Meng, X.L.[Xiao-Liang], Atkinson, P.M.[Peter M.],
Scale-Aware Neural Network for Semantic Segmentation of Multi-Resolution Remote Sensing Images,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cai, Y.X.[Yu-Xiang], Yang, Y.C.[Ying-Chun], Zheng, Q.[Qiyi], Shen, Z.W.[Zheng-Wei], Shang, Y.H.[Yong-Heng], Yin, J.W.[Jian-Wei], Shi, Z.T.[Zhong-Tian],
BiFDANet: Unsupervised Bidirectional Domain Adaptation for Semantic Segmentation of Remote Sensing Images,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Li, X.[Xin], Li, T.[Tao], Chen, Z.Q.[Zi-Qi], Zhang, K.W.[Kai-Wen], Xia, R.L.[Run-Liang],
Attentively Learning Edge Distributions for Semantic Segmentation of Remote Sensing Imagery,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Niu, X.R.[Xue-Rui], Zeng, Q.L.[Qiao-Lin], Luo, X.B.[Xiao-Bo], Chen, L.F.[Liang-Fu],
FCAU-Net for the Semantic Segmentation of Fine-Resolution Remotely Sensed Images,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Sun, X.D.[Xu-Dong], Xia, M.[Min], Dai, T.F.[Tian-Fang],
Controllable Fused Semantic Segmentation with Adaptive Edge Loss for Remote Sensing Parsing,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Diao, Q.[Qi], Dai, Y.P.[Ya-Ping], Zhang, C.[Ce], Wu, Y.[Yan], Feng, X.X.[Xiao-Xue], Pan, F.[Feng],
Superpixel-Based Attention Graph Neural Network for Semantic Segmentation in Aerial Images,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Ke, R.[Rihuan], Aviles-Rivero, A.I.[Angelica I.], Pandey, S.[Saurabh], Reddy, S.[Saikumar], Schönlieb, C.B.[Carola-Bibiane],
A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation,
IP(31), 2022, pp. 1805-1815.
IEEE DOI 2202
Image segmentation, Semantics, Task analysis, Annotations, Multitasking, Semisupervised learning, Perturbation methods, consistency regularisation BibRef

He, Y.J.[Yong-Jun], Wang, J.F.[Jin-Fei], Liao, C.H.[Chun-Hua], Shan, B.[Bo], Zhou, X.[Xin],
ClassHyPer: ClassMix-Based Hybrid Perturbations for Deep Semi-Supervised Semantic Segmentation of Remote Sensing Imagery,
RS(14), No. 4, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Yan, L.[Li], Huang, J.M.[Jian-Ming], Xie, H.[Hong], Wei, P.C.[Peng-Cheng], Gao, Z.[Zhao],
Efficient Depth Fusion Transformer for Aerial Image Semantic Segmentation,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Liu, Z.Q.[Zhi-Qiang], Li, J.J.[Jiao-Jiao], Song, R.[Rui], Wu, C.X.[Chao-Xiong], Liu, W.[Wei], Li, Z.[Zan], Li, Y.S.[Yun-Song],
Edge Guided Context Aggregation Network for Semantic Segmentation of Remote Sensing Imagery,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Huang, Z.F.[Zhi-Feng], Zhang, Q.[Qian], Zhang, G.X.[Gui-Xu],
MLCRNet: Multi-Level Context Refinement for Semantic Segmentation in Aerial Images,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Kong, Y.Y.[Ying-Ying], Li, Q.[Qiupeng],
Semantic Segmentation of Polarimetric SAR Image Based on Dual-Channel Multi-Size Fully Connected Convolutional Conditional Random Field,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Gao, H.[Han], Zhao, Y.[Yang], Guo, P.[Peng], Sun, Z.H.[Zi-Hao], Chen, X.W.[Xiu-Wan], Tang, Y.W.[Yun-Wei],
Cycle and Self-Supervised Consistency Training for Adapting Semantic Segmentation of Aerial Images,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Cai, Y.Z.[Yuan-Zhi], Fan, L.[Lei], Zhang, C.[Cheng],
Semantic Segmentation of Multispectral Images via Linear Compression of Bands: An Experiment Using RIT-18,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Lu, M.[Min], Liu, J.Y.[Jia-Yin], Wang, F.[Feng], Xiang, Y.M.[Yu-Ming],
Multi-Task Learning of Relative Height Estimation and Semantic Segmentation from Single Airborne RGB Images,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, H.J.[Hai-Jun], Chen, F.L.[Feng-Lei], Zeng, Z.H.[Zhi-Hong], Tan, X.H.[Xiao-Heng],
AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, R.R.[Run-Rui], Tao, F.[Fei], Liu, X.T.[Xin-Tao], Na, J.M.[Jia-Ming], Leng, H.J.[Hong-Jun], Wu, J.J.[Jun-Jie], Zhou, T.[Tong],
RAANet: A Residual ASPP with Attention Framework for Semantic Segmentation of High-Resolution Remote Sensing Images,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, X.[Xin], Xu, F.[Feng], Xia, R.[Runliang], Li, T.[Tao], Chen, Z.Q.[Zi-Qi], Wang, X.Y.[Xin-Yuan], Xu, Z.[Zhennan], Lyu, X.[Xin],
Encoding Contextual Information by Interlacing Transformer and Convolution for Remote Sensing Imagery Semantic Segmentation,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Liu, B.[Bo], Hu, J.[Jinwu], Bi, X.L.[Xiu-Li], Li, W.S.[Wei-Sheng], Gao, X.B.[Xin-Bo],
PGNet: Positioning Guidance Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Chen, Y.D.[Ya-Dang], Wei, C.C.[Chen-Chen], Wang, D.[Duolin], Ji, C.J.[Chuan-Jun], Li, B.Z.[Bao-Zhu],
Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, J.Q.[Jia-Qi], Gong, Z.H.[Zhi-Hui], Liu, X.Y.[Xiang-Yun], Guo, H.T.[Hai-Tao], Lu, J.[Jun], Yu, D.H.[Dong-Hang], Lin, Y.Z.[Yu-Zhun],
Multi-Feature Information Complementary Detector: A High-Precision Object Detection Model for Remote Sensing Images,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Li, W.T.[Wei-Tao], Gao, H.[Hui], Su, Y.[Yi], Momanyi, B.M.[Biffon Manyura],
Unsupervised Domain Adaptation for Remote Sensing Semantic Segmentation with Transformer,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

He, Q.B.[Qi-Bin], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Yan, Z.Y.[Zhi-Yuan], Yin, D.[Dongshuo], Fu, K.[Kun],
RETRACTION: Transformer-induced graph reasoning for multimodal semantic segmentation in remote sensing,
PandRS(203), 2023, pp. 165.
Elsevier DOI 2310
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And: PandRS(193), 2022, pp. 90-103. 2210
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Zhang, X.Y.[Xiao-Yan], Li, L.H.[Lin-Hui], Di, D.L.[Dong-Lin], Wang, J.[Jian], Chen, G.S.[Guang-Sheng], Jing, W.P.[Wei-Peng], Emam, M.[Mahmoud],
SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
BibRef

Hartley, R.J.L.[Robin J. L.], Davidson, S.J.[Sam J.], Watt, M.S.[Michael S.], Massam, P.D.[Peter D.], Aguilar-Arguello, S.[Samuel], Melnik, K.O.[Katharine O.], Pearce, H.G.[H. Grant], Clifford, V.R.[Veronica R.],
A Mixed Methods Approach for Fuel Characterisation in Gorse (Ulex europaeus L.) Scrub from High-Density UAV Laser Scanning Point Clouds and Semantic Segmentation of UAV Imagery,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Yang, X.[Xuan], Zhang, B.[Bing], Chen, Z.C.[Zheng-Chao], Bai, Y.Q.[Yong-Qing], Chen, P.[Pan],
A Multi-Temporal Network for Improving Semantic Segmentation of Large-Scale Landsat Imagery,
RS(14), No. 19, 2022, pp. xx-yy.
DOI Link 2210
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Chen, J.Q.[Jia-Qing], Zhao, Y.[Yindi], Meng, C.[Congtang], Liu, Y.[Yang],
Multi-Feature Aggregation for Semantic Segmentation of an Urban Scene Point Cloud,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Sheng, H.[Hao], Cong, R.X.[Rui-Xuan], Yang, D.[Da], Chen, R.S.[Rong-Shan], Wang, S.[Sizhe], Cui, Z.L.[Zheng-Long],
UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes,
CirSysVideo(32), No. 11, November 2022, pp. 7880-7893.
IEEE DOI 2211
Semantics, Image segmentation, Light fields, Cameras, Estimation, Superresolution, Annotations, Semantic segmentation, light field, depth estimation BibRef

Salgueiro, L.[Luis], Marcello, J.[Javier], Vilaplana, V.[Verónica],
SEG-ESRGAN: A Multi-Task Network for Super-Resolution and Semantic Segmentation of Remote Sensing Images,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Feng, M.Z.[Ming-Zhe], Sun, X.[Xin], Dong, J.Y.[Jun-Yu], Zhao, H.R.[Hao-Ran],
Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Shi, W.X.[Wen-Xu], Meng, Q.Y.[Qing-Yan], Zhang, L.L.[Lin-Lin], Zhao, M.[Maofan], Su, C.[Chen], Jancsó, T.[Tamás],
DSANet: A Deep Supervision-Based Simple Attention Network for Efficient Semantic Segmentation in Remote Sensing Imagery,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Ma, J.[Jiabao], Zhou, W.[Wujie], Qian, X.H.[Xiao-Hong], Yu, L.[Lu],
Deep-Separation Guided Progressive Reconstruction Network for Semantic Segmentation of Remote Sensing Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Du, X.R.[Xin-Ran], He, S.M.[Shu-Meng], Yang, H.Q.[Hou-Qun], Wang, C.X.[Chun-Xiao],
Multi-Field Context Fusion Network for Semantic Segmentation of High-Spatial-Resolution Remote Sensing Images,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liang, H.[Han], Seo, S.Y.[Su-Young],
LPASS-Net: Lightweight Progressive Attention Semantic Segmentation Network for Automatic Segmentation of Remote Sensing Images,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
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Wu, L.S.[Lin-Shan], Fang, L.Y.[Le-Yuan], Yue, J.[Jun], Zhang, B.[Bob], Ghamisi, P.[Pedram], He, M.[Min],
Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images,
IP(31), 2022, pp. 7419-7434.
IEEE DOI 2212
Deep learning, Training, Visualization, Semantic segmentation, Supervised learning, Neural networks, Transforms, weakly-supervised learning BibRef

Li, Y.X.[Yu-Xia], Si, Y.[Yu], Tong, Z.G.[Zhong-Gui], He, L.[Lei], Zhang, J.L.[Jing-Lin], Luo, S.Y.[Shi-Yu], Gong, Y.S.[Yu-Shu],
MQANet: Multi-Task Quadruple Attention Network of Multi-Object Semantic Segmentation from Remote Sensing Images,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Zhang, J.L.[Jing-Lin], Li, Y.X.[Yu-Xia], Zhang, B.[Bowei], He, L.[Lei], He, Y.[Yuan], Deng, W.[Wantao], Si, Y.[Yu], Tong, Z.G.[Zhong-Gui], Gong, Y.S.[Yu-Shu], Liao, K.[Kunwei],
CD-MQANet: Enhancing Multi-Objective Semantic Segmentation of Remote Sensing Images through Channel Creation and Dual-Path Encoding,
RS(15), No. 18, 2023, pp. 4520.
DOI Link 2310
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Chen, Y.[Yan], Jiang, W.X.[Wen-Xiang], Wang, M.Y.[Meng-Yuan], Kang, M.L.[Meng-Lei], Weise, T.[Thomas], Wang, X.F.[Xiao-Feng], Tan, M.[Ming], Xu, L.X.[Li-Xiang], Li, X.[Xinlu], Zhang, C.[Chen],
LightFGCNet: A Lightweight and Focusing on Global Context Information Semantic Segmentation Network for Remote Sensing Imagery,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Xi, M.F.[Meng-Fei], Li, J.[Jie], He, Z.L.[Zhi-Lin], Yu, M.M.[Min-Min], Qin, F.[Fen],
NRN-RSSEG: A Deep Neural Network Model for Combating Label Noise in Semantic Segmentation of Remote Sensing Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Wenger, R.[Romain], Puissant, A.[Anne], Weber, J.[Jonathan], Idoumghar, L.[Lhassane], Forestier, G.[Germain],
Multimodal and Multitemporal Land Use/Land Cover Semantic Segmentation on Sentinel-1 and Sentinel-2 Imagery: An Application on a MultiSenGE Dataset,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Qiu, L.[Luyi], Yu, D.[Dayu], Zhang, C.X.[Chen-Xiao], Zhang, X.F.[Xiao-Feng],
A Local-Global Framework for Semantic Segmentation of Multisource Remote Sensing Images,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Liang, C.B.[Chen-Bin], Xiao, B.H.[Bai-Hua], Cheng, B.[Bo], Dong, Y.Y.[Yun-Yun],
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Liu, B.H.[Bin-Hui], Xu, C.Y.[Chun-Yan], Cui, Z.[Zhen], Yang, J.[Jian],
Progressive Context-Dependent Inference for Object Detection in Remote Sensing Imagery,
IP(32), 2023, pp. 580-590.
IEEE DOI 2301
Remote sensing, Object detection, Proposals, Feature extraction, Task analysis, Visualization, Detectors, Object detection, remote sensing imagery BibRef

Boonpook, W.[Wuttichai], Tan, Y.[Yumin], Nardkulpat, A.[Attawut], Torsri, K.[Kritanai], Torteeka, P.[Peerapong], Kamsing, P.[Patcharin], Sawangwit, U.[Utane], Pena, J.[Jose], Jainaen, M.[Montri],
Deep Learning Semantic Segmentation for Land Use and Land Cover Types Using Landsat 8 Imagery,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Yuan, M.[Min], Ren, D.[Dingbang], Feng, Q.[Qisheng], Wang, Z.B.[Zhao-Bin], Dong, Y.K.[Yong-Kang], Lu, F.[Fuxiang], Wu, X.L.[Xiao-Lin],
MCAFNet: A Multiscale Channel Attention Fusion Network for Semantic Segmentation of Remote Sensing Images,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Li, Y.Z.[Ya-Zhou], Cheng, Z.Y.[Zhi-You], Wang, C.J.[Chuan-Jian], Zhao, J.L.[Jin-Ling], Huang, L.S.[Lin-Sheng],
RCCT-ASPPNet: Dual-Encoder Remote Image Segmentation Based on Transformer and ASPP,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Xu, R.T.[Rong-Tao], Wang, C.W.[Chang-Wei], Zhang, J.G.[Ji-Guang], Xu, S.B.[Shi-Biao], Meng, W.L.[Wei-Liang], Zhang, X.P.[Xiao-Peng],
RSSFormer: Foreground Saliency Enhancement for Remote Sensing Land-Cover Segmentation,
IP(32), 2023, pp. 1052-1064.
IEEE DOI 2302
Remote sensing, Transformers, Semantic segmentation, Task analysis, Buildings, Background noise, Convolution, transformer BibRef

Shi, X.[Xue], Wang, Y.[Yu], Li, Y.[Yu], Dou, S.Q.[Shi-Qing],
Remote Sensing Image Segmentation Based on Hierarchical Student's-t Mixture Model and Spatial Constrains with Adaptive Smoothing,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
BibRef

Chen, Y.[Yujia], Zhang, G.[Guo], Cui, H.[Hao], Li, X.[Xue], Hou, S.[Shasha], Ma, J.[Jinhao], Li, Z.J.[Zhi-Jiang], Li, H.F.[Hai-Feng], Wang, H.[Huabin],
A novel weakly supervised semantic segmentation framework to improve the resolution of land cover product,
PandRS(196), 2023, pp. 73-92.
Elsevier DOI 2302
Land cover product, Weakly supervised learning, Land cover classification, Sample transferring, Pseudo-label BibRef

Cui, H.[Hao], Zhang, G.[Guo], Chen, Y.[Yujia], Li, X.[Xue], Hou, S.[Shasha], Li, H.F.[Hai-Feng], Ma, X.L.[Xiao-Long], Guan, N.[Na], Tang, X.M.[Xue-Min],
Knowledge Evolution Learning: A Cost-Free Weakly Supervised Semantic Segmentation Framework for High-Resolution Land Cover Classification,
PandRS(207), 2024, pp. 74-91.
Elsevier DOI 2401
Weakly supervised, Land cover product, Superpixel, Knowledge evolution, Consistency regularization BibRef

Hu, X.[Xikun], Zhang, P.Z.[Pu-Zhao], Ban, Y.F.[Yi-Fang],
Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models,
PandRS(196), 2023, pp. 228-240.
Elsevier DOI 2302
Landsat data, Burn severity dataset, Deep learning, Semantic segmentation, Burn severity assessment BibRef

Wang, G.C.[Guan-Chun], Zhang, X.R.[Xiang-Rong], Peng, Z.L.[Ze-Lin], Jia, X.P.[Xiu-Ping], Tang, X.[Xu], Jiao, L.C.[Li-Cheng],
MOL: Towards accurate weakly supervised remote sensing object detection via Multi-view nOoisy Learning,
PandRS(196), 2023, pp. 457-470.
Elsevier DOI 2302
Weakly supervised object detection, Remote sensing images, Noisy learning, Multi-view learning BibRef

Zhao, Y.[Yang], Guo, P.[Peng], Sun, Z.[Zihao], Chen, X.W.[Xiu-Wan], Gao, H.[Han],
ResiDualGAN: Resize-Residual DualGAN for Cross-Domain Remote Sensing Images Semantic Segmentation,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

He, Q.[Qibin], Sun, X.[Xian], Diao, W.H.[Wen-Hui], Yan, Z.Y.[Zhi-Yuan], Yao, F.[Fanglong], Fu, K.[Kun],
Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling,
IP(32), 2023, pp. 1474-1487.
IEEE DOI 2303
Cognition, Semantics, Image segmentation, Remote sensing, Optical interferometry, Vegetation, Optical sensors, semantic segmentation BibRef

Padilla-Zepeda, E.[Efrain], Torres-Roman, D.[Deni], Mendez-Vazquez, A.[Andres],
A Semantic Segmentation Framework for Hyperspectral Imagery Based on Tucker Decomposition and 3DCNN Tested with Simulated Noisy Scenarios,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Sun, L.[Li], Zou, H.X.[Huan-Xin], Wei, J.[Juan], Cao, X.[Xu], He, S.T.[Shi-Tian], Li, M.[Meilin], Liu, S.[Shuo],
Semantic Segmentation of High-Resolution Remote Sensing Images Based on Sparse Self-Attention and Feature Alignment,
RS(15), No. 6, 2023, pp. 1598.
DOI Link 2304
BibRef

Bai, Z.[Zhen], Li, G.Y.[Gong-Yang], Liu, Z.[Zhi],
Global-local-global context-aware network for salient object detection in optical remote sensing images,
PandRS(198), 2023, pp. 184-196.
Elsevier DOI 2304
Salient object detection, Optical remote sensing images, Transformer, Dynamic filter, Attention mechanism BibRef

Huang, M.K.[Meng-Ke], Li, G.Y.[Gong-Yang], Liu, Z.[Zhi], Zhu, L.C.[Lin-Chao],
Lightweight Distortion-Aware Network for Salient Object Detection in Omnidirectional Images,
CirSysVideo(33), No. 10, October 2023, pp. 6191-6197.
IEEE DOI 2310
BibRef

Li, G.Y.[Gong-Yang], Bai, Z.[Zhen], Liu, Z.[Zhi], Zhang, X.P.[Xin-Peng], Ling, H.B.[Hai-Bin],
Salient Object Detection in Optical Remote Sensing Images Driven by Transformer,
IP(32), 2023, pp. 5257-5269.
IEEE DOI Code:
WWW Link. 2310
BibRef

Chen, Z.[Zhong], Zhao, J.[Jun], Deng, H.[He],
Global Multi-Attention UResNeXt for Semantic Segmentation of High-Resolution Remote Sensing Images,
RS(15), No. 7, 2023, pp. 1836.
DOI Link 2304
BibRef

Hao, X.J.[Xue-Jie], Yin, L.[Lizeyan], Li, X.[Xiuhong], Zhang, L.[Le], Yang, R.J.[Rong-Jin],
A Multi-Objective Semantic Segmentation Algorithm Based on Improved U-Net Networks,
RS(15), No. 7, 2023, pp. 1838.
DOI Link 2304
BibRef

Zhou, Z.[Zheng], Zheng, C.[Change], Liu, X.D.[Xiao-Dong], Tian, Y.[Ye], Chen, X.Y.[Xiao-Yi], Chen, X.[Xuexue], Dong, Z.X.[Zi-Xun],
A Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic Segmentation of Imbalanced Data,
RS(15), No. 7, 2023, pp. 1768.
DOI Link 2304
BibRef

Li, L.F.[Lian-Fa], Zhu, Z.P.[Zhi-Ping], Wang, C.Y.[Cheng-Yi],
Multiscale Entropy-Based Surface Complexity Analysis for Land Cover Image Semantic Segmentation,
RS(15), No. 8, 2023, pp. 2192.
DOI Link 2305
BibRef

Wang, X.F.[Xiao-Feng], Kang, M.L.[Meng-Lei], Chen, Y.[Yan], Jiang, W.X.[Wen-Xiang], Wang, M.Y.[Meng-Yuan], Weise, T.[Thomas], Tan, M.[Ming], Xu, L.X.[Li-Xiang], Li, X.[Xinlu], Zou, L.[Le], Zhang, C.[Chen],
Adaptive Local Cross-Channel Vector Pooling Attention Module for Semantic Segmentation of Remote Sensing Imagery,
RS(15), No. 8, 2023, pp. 1980.
DOI Link 2305
BibRef

Zhou, W.[Wujie], Lv, Y.[Ying], Lei, J.S.[Jing-Sheng], Yu, L.[Lu],
Embedded Control Gate Fusion and Attention Residual Learning for RGB-Thermal Urban Scene Parsing,
ITS(24), No. 5, May 2023, pp. 4794-4803.
IEEE DOI 2305
Semantics, Feature extraction, Semantic segmentation, Logic gates, Decoding, Autonomous vehicles, urban scene BibRef

Rui, X.[Xue], Li, Z.Q.[Zi-Qiang], Cao, Y.[Yang], Li, Z.Y.[Zi-Yang], Song, W.G.[Wei-Guo],
DILRS: Domain-Incremental Learning for Semantic Segmentation in Multi-Source Remote Sensing Data,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Zheng, W.[Wei], Feng, J.F.[Jiang-Fan], Gu, Z.[Zhujun], Zeng, M.M.[Mai-Mai],
A Stage-Adaptive Selective Network with Position Awareness for Semantic Segmentation of LULC Remote Sensing Images,
RS(15), No. 11, 2023, pp. 2811.
DOI Link 2306
BibRef

Liu, Q.[Qing], Dong, Y.S.[Yong-Sheng], Jiang, Z.Q.[Zhi-Qiang], Pei, Y.H.[Yuan-Hua], Zheng, B.[Boshi], Zheng, L.T.[Lin-Tao], Fu, Z.[Zhumu],
Multi-Pooling Context Network for Image Semantic Segmentation,
RS(15), No. 11, 2023, pp. 2800.
DOI Link 2306
BibRef

Chen, Y.H.[Yu-Han], Liu, P.Y.[Peng-Yuan], Zhao, J.C.[Jie-Chen], Huang, K.J.[Kai-Jian], Yan, Q.Y.[Qing-Yun],
Shallow-Guided Transformer for Semantic Segmentation of Hyperspectral Remote Sensing Imagery,
RS(15), No. 13, 2023, pp. 3366.
DOI Link 2307
BibRef

Li, H.F.[Hai-Feng], Jing, W.X.[Wen-Xuan], Wei, G.[Guo], Wu, K.[Kai], Su, M.M.[Ming-Ming], Liu, L.[Lu], Wu, H.[Hao], Li, P.L.[Peng-Long], Qi, J.[Ji],
RiSSNet: Contrastive Learning Network with a Relaxed Identity Sampling Strategy for Remote Sensing Image Semantic Segmentation,
RS(15), No. 13, 2023, pp. 3427.
DOI Link 2307
BibRef

Meng, X.C.[Xi-Chen], Zhu, L.Q.[Li-Qun], Han, Y.L.[Yi-Long], Zhang, H.C.[Han-Chao],
We Need to Communicate: Communicating Attention Network for Semantic Segmentation of High-Resolution Remote Sensing Images,
RS(15), No. 14, 2023, pp. 3619.
DOI Link 2307
BibRef

Feng, J.F.[Jiang-Fan], Yang, X.Y.[Xin-Yu], Gu, Z.[Zhujun], Zeng, M.[Maimai], Zheng, W.[Wei],
SMBCNet: A Transformer-Based Approach for Change Detection in Remote Sensing Images through Semantic Segmentation,
RS(15), No. 14, 2023, pp. 3566.
DOI Link 2307
BibRef

Wang, Y.[Yameng], Wan, Y.[Yi], Zhang, Y.J.[Yong-Jun], Zhang, B.[Bin], Gao, Z.[Zhi],
Imbalance knowledge-driven multi-modal network for land-cover semantic segmentation using aerial images and LiDAR point clouds,
PandRS(202), 2023, pp. 385-404.
Elsevier DOI 2308
Land-cover semantic segmentation, Multi-modal data, LiDAR, Aerial imagery BibRef

Sun, Q.W.[Qing-Wei], Chao, J.G.[Jian-Gang], Lin, W.H.[Wan-Hong], Xu, Z.Y.[Zhen-Ying], Chen, W.[Wei], He, N.[Ning],
Learn to Few-Shot Segment Remote Sensing Images from Irrelevant Data,
RS(15), No. 20, 2023, pp. 4937.
DOI Link 2310
BibRef

Peng, C.L.[Chang-Le], Li, H.F.[Hai-Feng], Tao, C.[Chao], Li, Y.S.[Yan-Sheng], Ma, J.Y.[Jia-Yi],
MSINet: Mining scale information from digital surface models for semantic segmentation of aerial images,
PR(143), 2023, pp. 109785.
Elsevier DOI 2310
Semantic segmentation, Aerial image, Multi-scale, Digital surface model BibRef

Yu, A.[Anzhu], Quan, Y.J.[Yu-Jun], Yu, R.[Ru], Guo, W.[Wenyue], Wang, X.[Xin], Hong, D.Y.[Dan-Yang], Zhang, H.[Haodi], Chen, J.M.[Jun-Ming], Hu, Q.F.[Qing-Feng], He, P.P.[Pei-Pei],
Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey,
RS(15), No. 20, 2023, pp. 4987.
DOI Link 2310
BibRef

Ma, X.Y.[Xiang-Yue], Xu, J.D.[Jin-Dong], Chong, Q.[Qiangpeng], Ou, S.F.[Shi-Feng], Xing, H.H.[Hai-Hua], Ni, M.[Mengying],
FCUnet: Refined remote sensing image segmentation method based on a fuzzy deep learning conditional random field network,
IET-IPR(17), No. 12, 2023, pp. 3616-3629.
DOI Link 2310
fuzzy logic, image classification, image segmentation, neural nets BibRef

Liu, S.[Songlin], Chen, L.W.[Lin-Wei], Zhang, L.[Li], Hu, J.[Jun], Fu, Y.[Ying],
A large-scale climate-aware satellite image dataset for domain adaptive land-cover semantic segmentation,
PandRS(205), 2023, pp. 98-114.
Elsevier DOI Code:
WWW Link. 2311
Satellite image, Semantic segmentation, Unsupervised domain adaptation BibRef

Panboonyuen, T.[Teerapong], Charoenphon, C.[Chaiyut], Satirapod, C.[Chalermchon],
MeViT: A Medium-Resolution Vision Transformer for Semantic Segmentation on Landsat Satellite Imagery for Agriculture in Thailand,
RS(15), No. 21, 2023, pp. 5124.
DOI Link 2311
BibRef

Zhang, Y.[Yue], Yang, R.Q.[Rui-Qi], Dai, Q.L.[Qin-Ling], Zhao, Y.[Yili], Xu, W.H.[Wei-Heng], Wang, J.[Jun], Wang, L.G.[Lei-Guang],
Boosting Semantic Segmentation of Remote Sensing Images by Introducing Edge Extraction Network and Spectral Indices,
RS(15), No. 21, 2023, pp. 5148.
DOI Link 2311
BibRef

Li, X.[Xin], Xu, F.[Feng], Yong, X.[Xi], Chen, D.Q.[De-Qing], Xia, R.[Runliang], Ye, B.[Baoliu], Gao, H.M.[Hong-Min], Chen, Z.Q.[Zi-Qi], Lyu, X.[Xin],
SSCNet: A Spectrum-Space Collaborative Network for Semantic Segmentation of Remote Sensing Images,
RS(15), No. 23, 2023, pp. 5610.
DOI Link 2312
BibRef

Gong, A.[Aojun], Nie, J.F.[Jun-Fei], Niu, C.[Chen], Yu, Y.[Yuan], Li, J.[Jun], Guo, L.[Lianbo],
Edge and Skeleton Guidance Network for Salient Object Detection in Optical Remote Sensing Images,
CirSysVideo(33), No. 12, December 2023, pp. 7109-7120.
IEEE DOI Code:
WWW Link. 2312
BibRef

Li, Y.F.[Yi-Fan], Liu, Z.Q.[Zi-Qian], Yang, J.L.[Jun-Li], Zhang, H.P.[Hao-Peng],
Wavelet Transform Feature Enhancement for Semantic Segmentation of Remote Sensing Images,
RS(15), No. 24, 2023, pp. 5644.
DOI Link 2401
BibRef

Huang, Y.F.[Yi-Fei], Feng, Z.D.[Zi-Deng], Yang, J.L.[Jun-Li], Wang, B.[Bin], Wang, J.Y.[Jia-Ying], Xian, Z.L.[Zheng-Lin],
Le-BEiT: A Local-Enhanced Self-Supervised Transformer for Semantic Segmentation of High Resolution Remote Sensing Images,
ICIP22(3311-3315)
IEEE DOI 2211
Image resolution, Image coding, Transfer learning, Supervised learning, Self-supervised learning, Transformers, Transformer BibRef

Wang, L.B.[Long-Bao], Long, C.[Chong], Li, X.[Xin], Tang, X.D.[Xiao-Dan], Bai, Z.P.[Zhi-Peng], Gao, H.M.[Hong-Min],
CSFFNet: Lightweight cross-scale feature fusion network for salient object detection in remote sensing images,
IET-IPR(18), No. 3, 2024, pp. 602-614.
DOI Link 2402
convolutional neural nets, image segmentation, remote sensing BibRef

Wang, L.B.[Long-Bao], Shen, Y.C.[Yi-Can], Yang, J.[Jin], Zeng, H.[Hui], Gao, H.M.[Hong-Min],
Rotated points for object detection in remote sensing images,
IET-IPR(18), No. 6, 2024, pp. 1655-1665.
DOI Link 2405
convolutional neural nets, image processing, object detection BibRef

Ang, S.P.[Sui Paul], Phung, S.L.[Son Lam], Bui, L.[Ly], Bouzerdoum, A.[Abdesselam],
AdaptorNAS: A New Perturbation-Based Neural Architecture Search for Hyperspectral Image Segmentation,
CirSysVideo(34), No. 3, March 2024, pp. 1559-1571.
IEEE DOI 2403
Decoding, Hyperspectral imaging, Image segmentation, Feature extraction, Computer architecture, Training, semantic segmentation BibRef

Hu, L.[Lei], Zhou, X.[Xun], Ruan, J.C.[Jia-Chen], Li, S.P.[Su-Peng],
ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images,
RS(16), No. 6, 2024, pp. 1036.
DOI Link 2403
BibRef

Liu, B.[Bing], Hu, T.[Tongye], Bao, X.L.[Xue-Liang], Zhong, Z.O.[Zha-Ohao],
CUformer: A Channel-wise Unet-based Transformer for Semantic Segmentation of Remote Sensing,
CVIDL23(268-273)
IEEE DOI 2403
Deep learning, Head, Fuses, Semantic segmentation, Semantics, Transformers, Feature extraction, remote sensing, CNN BibRef

Li, X.[Xin], Yong, X.[Xi], Li, T.[Tao], Tong, Y.[Yao], Gao, H.M.[Hong-Min], Wang, X.Y.[Xin-Yuan], Xu, Z.N.[Zhen-Nan], Fang, Y.W.[Yi-Wei], You, Q.[Qian], Lyu, X.[Xin],
A Spectral-Spatial Context-Boosted Network for Semantic Segmentation of Remote Sensing Images,
RS(16), No. 7, 2024, pp. 1214.
DOI Link 2404
BibRef

Wang, Z.Q.[Zi-Quan], Zhang, Y.S.[Yong-Sheng], Zhang, Z.C.[Zhen-Chao], Jiang, Z.P.[Zhi-Peng], Yu, Y.[Ying], Li, L.[Lei], Zhang, L.[Lei],
Exploring Uncertainty-Based Self-Prompt for Test-Time Adaptation Semantic Segmentation in Remote Sensing Images,
RS(16), No. 7, 2024, pp. 1239.
DOI Link 2404
BibRef

Zhang, M.[Ming], Gu, X.[Xin], Qi, J.[Ji], Zhang, Z.[Zhenshi], Yang, H.[Hemeng], Xu, J.[Jun], Peng, C.L.[Chang-Le], Li, H.F.[Hai-Feng],
CDEST: Class Distinguishability-Enhanced Self-Training Method for Adopting Pre-Trained Models to Downstream Remote Sensing Image Semantic Segmentation,
RS(16), No. 7, 2024, pp. 1293.
DOI Link 2404
BibRef

Cui, W.[Wei], Feng, Z.[Zhanyun], Chen, J.[Jiale], Xu, X.[Xing], Tian, Y.[Yueling], Zhao, H.L.[Hui-Lin], Wang, C.L.[Cheng-Lei],
Long-Tailed Effect Study in Remote Sensing Semantic Segmentation Based on Graph Kernel Principles,
RS(16), No. 8, 2024, pp. 1398.
DOI Link 2405
BibRef


Kolbeinsson, B.[Benedikt], Mikolajczyk, K.[Krystian],
Multi-Class Segmentation from Aerial Views using Recursive Noise Diffusion,
WACV24(8424-8434)
IEEE DOI Code:
WWW Link. 2404
Industries, Navigation, Semantic segmentation, Computational modeling, Noise reduction, Buildings, Noise, Image recognition and understanding BibRef

Chen, Q.X.[Qiu-Xiao], Qi, X.J.[Xiao-Jun],
Residual Graph Convolutional Network for Bird's-Eye-View Semantic Segmentation,
WACV24(3312-3319)
IEEE DOI 2404
Convolutional codes, Semantic segmentation, Semantics, Benchmark testing, Feature extraction, Data augmentation, Image recognition and understanding BibRef

Nogueira, K.[Keiller], Faita-Pinheiro, M.M.[Mayara Maezano], Marques-Ramos, A.P.[Ana Paula], Gonçalves, W.N.[Wesley Nunes], Marcato-Junior, J.[José], dos Santos, J.A.[Jefersson A.],
Prototypical Contrastive Network for Imbalanced Aerial Image Segmentation,
WACV24(8351-8361)
IEEE DOI 2404
Training, Representation learning, Image segmentation, Semantics, Prototypes, Stars, Transformers, Applications, Remote Sensing BibRef

Yamani, A.[Asma], Alyami, A.[Albandari], Luqman, H.[Hamzah], Ghanem, B.[Bernard], Giancola, S.[Silvio],
Active Learning for Single-Stage Object Detection in UAV Images,
WACV24(1849-1858)
IEEE DOI Code:
WWW Link. 2404
Training, Uncertainty, Costs, Annotations, Training data, Object detection, Detectors, Algorithms, Remote Sensing BibRef

Li, L.[Lei],
CPSeg: Finer-grained Image Semantic Segmentation via Chain-of-Thought Language Prompting,
WACV24(502-511)
IEEE DOI 2404
Statistical analysis, Semantic segmentation, Disasters, Semantics, Object detection, Floods, Algorithms, Remote Sensing BibRef

Dalbah, Y.[Yahia], Lahoud, J.[Jean], Cholakkal, H.[Hisham],
TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation,
WACV24(352-361)
IEEE DOI Code:
WWW Link. 2404
Adaptation models, Laser radar, Fuses, Semantic segmentation, Radar detection, Radar, Computer architecture, Algorithms, Image recognition and understanding BibRef

Straka, J.[Jakub], Gruber, I.[Ivan],
Modernized Training of U-Net for Aerial Semantic Segmentation,
EarthObv24(785-793)
IEEE DOI 2404
Training, Protocols, Codes, Semantic segmentation, Computational modeling BibRef

Chen, J.[Jing], Cheng, D.[Debo], Jiang, J.C.[Jia-Cheng], Yu, Z.Y.[Zhong-Yi], Zhang, S.C.[Shi-Chao],
SEM-FCNET: Semantic Feature Enhancement and Fully Convolutional Network Model for Remote Sensing Object Detection,
ICIP23(855-859)
IEEE DOI 2312
BibRef

Huang, R.J.[Ren-Jie], Liu, Z.R.[Zi-Ruo], Chen, J.C.[Ji-Chuan], Shi, Y.G.[Yang-Guang], Xiao, G.Q.[Guo-Qiang],
Geometric Prior-Assisted Feature Presentation Enhancement for Object Detection in Aerial Images,
ICIP23(1095-1099)
IEEE DOI 2312
BibRef

Zhang, T.[Tony], Dick, R.P.[Robert P.],
Spatial-Frequency Network for Segmentation of Remote Sensing Images,
ICIP23(3553-3557)
IEEE DOI 2312
BibRef

Lyu, X.R.[Xin-Ran], Zhang, L.[Libao],
Progressive Refinement Learning Based on Feature Interactive Fusion for Semantic Segmentation of Remote Sensing Limited Dataset,
ICIP23(2980-2984)
IEEE DOI 2312
BibRef

Zhang, L.W.[Li-Wen], Zhang, X.Y.[Xin-Yan], Zhang, Y.C.[You-Cheng], Guo, Y.F.[Yu-Fei], Chen, Y.P.[Yuan-Pei], Huang, X.[Xuhui], Ma, Z.[Zhe],
PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation,
CVPR23(17577-17586)
IEEE DOI 2309
BibRef

Pan, C.[Cong], He, Y.H.[Yong-Hao], Peng, J.[Junran], Zhang, Q.[Qian], Sui, W.[Wei], Zhang, Z.X.[Zhao-Xiang],
BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation,
CVPR23(9590-9599)
IEEE DOI 2309
BibRef

Yang, J.[Jiayu], Xie, E.[Enze], Liu, M.M.[Miao-Miao], Alvarez, J.M.[Jose M.],
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View,
ICCV23(8449-8458)
IEEE DOI 2401
BibRef

Klinghoffer, T.[Tzofi], Philion, J.[Jonah], Chen, W.Z.[Wen-Zheng], Litany, O.[Or], Gojcic, Z.[Zan], Joo, J.[Jungseock], Raskar, R.[Ramesh], Fidler, S.[Sanja], Alvarez, J.M.[Jose M.],
Towards Viewpoint Robustness in Bird's Eye View Segmentation,
ICCV23(8481-8490)
IEEE DOI 2401
BibRef

Sun, Y.Q.[Yong-Qing], Wu, X.M.[Xiao-Meng], Bandoh, Y.[Yukihiro], Kitahara, M.[Masaki],
Aerial Image Segmentation via Noise Dispelling and Content Distilling,
MLCSA22(269-279).
Springer DOI 2307
BibRef

Sairam, R.V.C.[Rebbapragada V C], Keswani, M.[Monish], Sinha, U.[Uttaran], Shah, N.[Nishit], Balasubramanian, V.N.[Vineeth N],
ARUBA: An Architecture-Agnostic Balanced Loss for Aerial Object Detection,
WACV23(3708-3717)
IEEE DOI 2302
Training, Deep learning, Neural networks, Object detection, Feature extraction, segmentation) BibRef

Tang, M.F.[Mao-Feng], Georgiou, K.[Konstantinos], Qi, H.R.[Hai-Rong], Champion, C.[Cody], Bosch, M.[Marc],
Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency,
WACV23(3787-3796)
IEEE DOI 2302
Representation learning, Image analysis, Semantic segmentation, Semantics, Decoding, Task analysis, Remote Sensing BibRef

Ran, L.Y.[Ling-Yan], Ji, C.[Cheng], Zhang, S.Z.[Shi-Zhou], Zhang, X.Q.[Xiao-Qiang], Zhang, Y.N.[Yan-Ning],
An Unsupervised Domain Adaption Framework for Aerial Image Semantic Segmentation Based on Curriculum Learning,
ICIVC22(354-359)
IEEE DOI 2301
Training, Degradation, Deep learning, Image segmentation, Visualization, Filtering, Semantics, unsupervised learning BibRef

Cheng, G.[Guo], Zheng, J.Y.[Jiang Yu],
SE3: Sequential Semantic Segmentation of Large Images with Minimized Memory,
ICPR22(3443-3449)
IEEE DOI 2212
Training, Performance evaluation, Image sensors, Semantic segmentation, Image edge detection, Semantics, edge computating BibRef

Lin, Y.H.[Yu-Han], Sun, H.[Han], Liu, N.Z.[Ning-Zhong], Bian, Y.T.[Ye-Tong], Cen, J.[Jun], Zhou, H.Y.[Hui-Yu],
A Lightweight Multi-Scale Context Network for Salient Object Detection in Optical Remote Sensing Images,
ICPR22(238-244)
IEEE DOI 2212
Integrated optics, Semantics, Object detection, Optical fiber networks, Optical imaging, Feature extraction, Optical sensors BibRef

Xian, Z.L.[Zheng-Lin], Wang, J.Y.[Jia-Ying], Yang, J.L.[Jun-Li], Wang, B.[Bin], Feng, Z.[Zideng], Huang, Y.F.[Yi-Fei],
Dual-Path Geometry-Aware Network for Semantic Segmentation of High-Resolution Aerial Images,
ICPR22(414-420)
IEEE DOI 2212
Geometry, Image resolution, Fuses, Semantic segmentation, Feature extraction, Transformers BibRef

Li, Z.X.[Zhuo-Xuan], Yang, J.L.[Jun-Li], Wang, B.[Bin], Li, Y.Q.[Ya-Qi], Pan, T.[Ting],
Maskformer with Improved Encoder-Decoder Module for Semantic Segmentation of Fine-Resolution Remote Sensing Images,
ICIP22(1971-1975)
IEEE DOI 2211
Computational modeling, Semantics, Transformers, Decoding, Sensors, Indexes, Semantic segmentation, remote sensing images, Transformer BibRef

Chouhan, A.[Avinash], Sur, A.[Arijit], Chutia, D.[Dibyajyoti],
Aggregated Context Network For Semantic Segmentation Of Aerial Images,
ICIP22(1526-1530)
IEEE DOI 2211
Convolution, Semantics, Benchmark testing, Feature extraction, Task analysis, Semantic segmentation, multi-context block BibRef

Li, X.T.[Xiao-Tong], Ge, Y.X.[Yi-Xiao], Yi, K.[Kun], Hu, Z.X.[Zi-Xuan], Shan, Y.[Ying], Duan, L.Y.[Ling-Yu],
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training,
ECCV22(XXX:231-246).
Springer DOI 2211

WWW Link. BibRef

Frigo, O.[Oriel], Martin-Gaffe, L.[Lucien], Wacongne, C.[Catherine],
DooDLeNet: Double DeepLab Enhanced Feature Fusion for Thermal-color Semantic Segmentation,
V4AS22(3020-3028)
IEEE DOI 2210
Training, Image segmentation, Image color analysis, Fuses, Semantics, Lighting, Imaging BibRef

Kütük, Z.[Zülfiye], Algan, G.[Görkem],
Semantic Segmentation for Thermal Images: A Comparative Survey,
PBVS22(285-294)
IEEE DOI 2210
Image segmentation, Costs, Semantics, Neural networks, Lighting, Robustness BibRef

Arnaudo, E.[Edoardo], Cermelli, F.[Fabio], Tavera, A.[Antonio], Rossi, C.[Claudio], Caputo, B.[Barbara],
A Contrastive Distillation Approach for Incremental Semantic Segmentation in Aerial Images,
CIAP22(II:742-754).
Springer DOI 2205
BibRef

Pérez, P.[Patrick], Tupin, F.[Florence], Rebut, J.[Julien],
Multi-View Radar Semantic Segmentation,
ICCV21(15651-15660)
IEEE DOI 2203
Image segmentation, Laser radar, Tensors, Rain, Radar measurements, Computational modeling, Snow, Scene analysis and understanding, Vision for robotics and autonomous vehicles BibRef

Desai, S.[Shasvat], Ghose, D.[Debasmita],
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images,
WACV22(1485-1495)
IEEE DOI 2202
Training, Image segmentation, Visualization, Satellites, Semantics, Training data, Prototypes, Remote Sensing , Deep Learning, Semi- and Un- supervised Learning BibRef

Budde, L.E., Bulatov, D., Iwaszczuk, D.,
Identification of Misclassified Pixels in Semantic Segmentation With Uncertainty Evaluation,
ISPRS21(B2-2021: 441-448).
DOI Link 2201
BibRef

Gagliolo, S., Sguerso, D.,
Mago Approach for Semantic Segmentation: the Case Study of UAVid Benchmark Dataset,
ISPRS21(B2-2021: 353-359).
DOI Link 2201
BibRef

Shi, C.[Chen], Li, X.T.[Xiang-Tai], Wu, Y.R.[Yan-Ran], Tong, Y.H.[Yun-Hai], Xu, Y.[Yi],
Dynamic Dual Sampling Module for Fine-Grained Semantic Segmentation,
ICIP21(2269-2273)
IEEE DOI 2201
Adaptation models, Computational modeling, Image processing, Semantics, Buildings, Delta-sigma modulation, Dynamic Sampling, Affinity Modeling BibRef

Li, X.T.[Xiang-Tai], He, H.[Hao], Li, X.[Xia], Li, D.[Duo], Cheng, G.L.[Guang-Liang], Shi, J.P.[Jian-Ping], Weng, L.[Lubin], Tong, Y.H.[Yun-Hai], Lin, Z.C.[Zhou-Chen],
PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation,
CVPR21(4215-4224)
IEEE DOI 2111
Image segmentation, Codes, Semantics, Benchmark testing, Pattern recognition, Context modeling BibRef

Li, M.L.[Ming-Long], Shan, L.L.[Lian-Lei], Li, X.O.[Xia-Obin], Bai, Y.[Yang], Zhou, D.J.[Deng-Ji], Wang, W.Q.[Wei-Qiang], Lv, K.[Ke], Luo, B.[Bin], Chen, S.B.[Si-Bao],
Global-Local Attention Network for Semantic Segmentation in Aerial Images,
ICPR21(5704-5711)
IEEE DOI 2105
Image segmentation, Image color analysis, Image edge detection, Semantics, Vegetation mapping, Vegetation, Pattern recognition BibRef

He, L.[Lin], Wu, Z.C.[Zhao-Cong], Zhang, Y.[Yi], Hu, Z.W.[Zhong-Wen],
Semantic Segmentation of Remote Sensing Imagery Using Object-based Markov Random Field Based on Hierarchical Segmentation Tree With Auxiliary Labels,
ISPRS20(B3:75-81).
DOI Link 2012
BibRef

Inagaki, S.[Shun], Imiya, A.[Atsushi],
Semantic Segmentation of Low Frame-Rate Image Sequence Using Statistical Properties of Optical Flow for Remote Exploration,
ISVC14(I: 477-488).
Springer DOI 1501
BibRef
And:
Statistical Method for Semantic Segmentation of Dominant Plane from Remote Exploration Image Sequence,
SSSPR14(263-272).
Springer DOI 1408
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Medical Image Semantic Segmentation .


Last update:May 6, 2024 at 15:50:14