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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],
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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
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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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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
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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
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
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],
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.[Bingyu],
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.[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,
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.[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.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.[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.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.[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.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],
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.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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
Hu, X.[Xikun],
Zhang, P.[Puzhao],
Ban, Y.[Yifang],
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
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.[Lixiang],
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.[Yuhan],
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
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
Peng, L.[Lang],
Chen, Z.R.[Zhi-Rong],
Fu, Z.J.[Zhang-Jie],
Liang, P.P.[Peng-Peng],
Cheng, E.[Erkang],
BEVSegFormer: Bird's Eye View Semantic Segmentation From Arbitrary
Camera Rigs,
WACV23(5924-5932)
IEEE DOI
2302
Semantic segmentation, Semantics, Layout, Transformers, Cameras,
Decoding, Applications: Robotics, visual reasoning
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.[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.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
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
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 .