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],
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Xin, X.[Xin],
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An Object-Based Markov Random Field Model with Anisotropic Penalty
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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.
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Song, A.[Ahram],
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Semantic Segmentation of Remote-Sensing Imagery Using Heterogeneous
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IJGI(9), No. 10, 2020, pp. xx-yy.
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2010
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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
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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.
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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.
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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
Huang, J.Q.[Jun-Qing],
Weng, L.[Liguo],
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
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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
Liang, C.B.[Chen-Bin],
Cheng, B.[Bo],
Xiao, B.H.[Bai-Hua],
He, C.Q.[Chenlin-Qiu],
Liu, X.[Xunan],
Jia, N.[Ning],
Chen, J.[Jinfen],
Semi-/Weakly-Supervised Semantic Segmentation Method and Its
Application for Coastal Aquaculture Areas Based on Multi-Source
Remote Sensing Images: Taking the Fujian Coastal Area (Mainly Sanduo)
as an Example,
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
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DOI Link
2109
BibRef
Liu, R.[Rui],
Mi, L.[Li],
Chen, Z.Z.[Zhen-Zhong],
AFNet: Adaptive Fusion Network for Remote Sensing Image Semantic
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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
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RS(13), No. 17, 2021, pp. xx-yy.
DOI Link
2109
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
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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
Fua and Leclerc Guided Segmentation Papers .