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Zhang, Y.[Yun],
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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],
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An Object-Based Markov Random Field Model with Anisotropic Penalty
for Semantic Segmentation of High Spatial Resolution Remote Sensing
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DOI Link
1912
BibRef
Zhang, J.[Jing],
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Ding, L.[Lei],
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Multi-Scale Context Aggregation for Semantic Segmentation of Remote
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DOI Link
2003
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Ding, L.,
Tang, H.,
Bruzzone, L.,
LANet: Local Attention Embedding to Improve the Semantic Segmentation
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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
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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
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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,
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DOI Link
2011
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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
Ouyang, S.[Song],
Li, Y.[Yansheng],
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.[Bingyu],
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],
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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],
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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.[Liguo],
Gao, J.H.[Jia-Hong],
Xia, M.[Min],
Lin, H.F.[Hai-Feng],
MSNet:
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RS(14), No. 20, 2022, pp. xx-yy.
DOI Link
2211
BibRef
Huang, J.Q.[Jun-Qing],
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Chen, B.[Bingyu],
Xia, M.[Min],
DFFAN: Dual Function Feature Aggregation Network for Semantic
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IJGI(10), No. 3, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Peng, J.[Jian],
Mei, X.M.[Xiao-Ming],
Li, W.[Wenbo],
Hong, L.[Liang],
Sun, B.[Bingyu],
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,
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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.[Ziwei],
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
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.[Xinfei],
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.[Kaiwen],
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.[Tianfang],
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.[Yunsong],
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.[Runrui],
Tao, F.[Fei],
Liu, X.[Xintao],
Na, J.[JiaMing],
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],
Transformer-induced graph reasoning for multimodal semantic
segmentation in remote sensing,
PandRS(193), 2022, pp. 90-103.
Elsevier DOI
2210
Graph reasoning, Hierarchical representation,
Multimodal remote sensing, Semantic segmentation, Transformer
BibRef
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
BibRef
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
BibRef
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
BibRef
Sheng, H.[Hao],
Cong, R.[Ruixuan],
Yang, D.[Da],
Chen, R.[Rongshan],
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
BibRef
Feng, M.Z.[Ming-Zhe],
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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],
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Su, C.[Chen],
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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],
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Deep-Separation Guided Progressive Reconstruction Network for
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RS(14), No. 21, 2022, pp. xx-yy.
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2212
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Du, X.R.[Xin-Ran],
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Multi-Field Context Fusion Network for Semantic Segmentation of
High-Spatial-Resolution Remote Sensing Images,
RS(14), No. 22, 2022, pp. xx-yy.
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Liang, H.[Han],
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LPASS-Net: Lightweight Progressive Attention Semantic Segmentation
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RS(14), No. 23, 2022, pp. xx-yy.
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Wu, L.S.[Lin-Shan],
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IEEE DOI
2212
Deep learning, Training, Visualization, Semantic segmentation,
Supervised learning, Neural networks, Transforms,
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Li, Y.X.[Yu-Xia],
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Tong, Z.G.[Zhong-Gui],
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Semantic Segmentation from Remote Sensing Images,
RS(14), No. 24, 2022, pp. xx-yy.
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Chen, Y.[Yan],
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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],
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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],
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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.
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2301
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Yuan, M.[Min],
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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
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.[Yuhan],
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.[Yaqi],
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
Huang, Y.[Yifei],
Feng, Z.[Zideng],
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
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.[Yunhai],
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.[Yunhai],
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 .