8.6.3.1 Remote Sensing Semantic Segmentation

Chapter Contents (Back)
Semantic Segmentation. Remote Sensing.
See also Semantic Segmentation, Label and Segment Together.
See also Neural Networks for Segmentation.
See also Neural Networks for 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

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

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 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

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


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
Fua and Leclerc Guided Segmentation Papers .


Last update:Apr 19, 2021 at 11:17:57