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
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
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
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],
Lefèvre, 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.[Xinru],
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.[Yueting],
Wu, Y.[Yirong],
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.[Qingsong],
Yuan, X.[Xin],
Ouyang, C.[Chaojun],
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
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
Fua and Leclerc Guided Segmentation Papers .