Extracting urban impervious surface based on optical and SAR images cross-modal multi-scale features fusion network

References

• Chen, Liang-Chieh, Yukun Zhu, George Papandreou, Florian Schroff, and Hartwig Adam. 2018. “Encoder-decoder with Atrous Separable Convolution for Semantic Image Segmentation.” Proceedings of the European Conference on Computer Vision (ECCV).
   Google Scholar
• Deng, Chengbin, and Changshan Wu. 2012. “BCI: A Biophysical Composition Index for Remote Sensing of Urban Environments.” Remote Sensing of Environment 127: 247–259. https://doi.org/10.1016/j.rse.2012.09.009.
   Web of Science ®Google Scholar
• Fan, Fenglei, and Yingbin Deng. 2014. “Enhancing Endmember Selection in Multiple Endmember Spectral Mixture Analysis (MESMA) for Urban Impervious Surface Area Mapping Using Spectral Angle and Spectral Distance Parameters.” International Journal of Applied Earth Observation and Geoinformation 33: 290–301. https://doi.org/10.1016/j.jag.2014.06.011.
   Web of Science ®Google Scholar
• Fu, Peng, and Qihao Weng. 2016. “A Time Series Analysis of Urbanization Induced Land Use and Land Cover Change and Its Impact on Land Surface Temperature with Landsat Imagery.” Remote Sensing of Environment 175: 205–214. https://doi.org/10.1016/j.rse.2015.12.040.
   Web of Science ®Google Scholar
• Gong, Peng, Xuecao Li, Jie Wang, Yuqi Bai, Bin Chen, Tengyun Hu, Xiaoping Liu, Bing Xu, Jun Yang, and Wei Zhang. 2020. “Annual Maps of Global Artificial Impervious Area (GAIA) Between 1985 and 2018.” Remote Sensing of Environment 236: 111510. https://doi.org/10.1016/j.rse.2019.111510.
   Web of Science ®Google Scholar
• Guo, Huadong, Huaining Yang, Zhongchang Sun, Xinwu Li, and Cuizhen Wang. 2014. “Synergistic Use of Optical and PolSAR Imagery for Urban Impervious Surface Estimation.” Photogrammetric Engineering & Remote Sensing 80 (1). https://doi.org/10.14358/PERS.80.1.91.
   Web of Science ®Google Scholar
• He, Kaiming, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016. “Deep Residual Learning for Image Recognition.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2016.90.
   Google Scholar
• Hong, Danfeng, Jingliang Hu, Jing Yao, Jocelyn Chanussot, and Xiao Xiang Zhu. 2021. “Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with a Shared and Specific Feature Learning Model.” ISPRS Journal of Photogrammetry and Remote Sensing 178: 68–80. https://doi.org/10.1016/j.isprsjprs.2021.05.011.
   PubMed Web of Science ®Google Scholar
• Hong, Danfeng, Jing Yao, Deyu Meng, Zongben Xu, and Jocelyn Chanussot. 2021. “Multimodal GANs: Toward Crossmodal Hyperspectral–Multispectral Image Segmentation.” IEEE Transactions on Geoscience and Remote Sensing 59 (6): 5103–5113. https://doi.org/10.1109/TGRS.2020.3020823.
   Web of Science ®Google Scholar
• Hoole, Charlotte, Stephen Hincks, and Alasdair Rae. 2019. “The Contours of a new Urban World? Megacity Population Growth and Density Since 1975.” Town Planning Review 90 (6). https://doi.org/10.3828/tpr.2019.41.
   Web of Science ®Google Scholar
• Hu, Jie, Li Shen, and Gang Sun. 2018. “Squeeze-and-excitation Networks.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
   Google Scholar
• Hu, Xuefei, and Qihao Weng. 2011. “Impervious Surface Area Extraction from IKONOS Imagery Using an Object-Based Fuzzy Method.” Geocarto International 26 (1): 3–20. https://doi.org/10.1080/10106049.2010.535616.
   Web of Science ®Google Scholar
• Huang, Xin, Yihong Song, Jie Yang, Wenrui Wang, Huiqun Ren, Mengjie Dong, Yujin Feng, Haidan Yin, and Jiayi Li. 2022. “Toward Accurate Mapping of 30-m Time-Series Global Impervious Surface Area (GISA).” International Journal of Applied Earth Observation and Geoinformation 109: 102787. https://doi.org/10.1016/j.jag.2022.102787.
   Web of Science ®Google Scholar
• Kuang, Wenhui. 2020. “70 Years of Urban Expansion Across China: Trajectory, Pattern, and National Policies.” Science Bulletin 65 (23): 1970–1974. https://doi.org/10.1016/j.scib.2020.07.005.
   PubMed Web of Science ®Google Scholar
• Li, Xue, Guo Zhang, Hao Cui, Shasha Hou, Shunyao Wang, Xin Li, Yujia Chen, Zhijiang Li, and Li Zhang. 2022. “MCANet: A Joint Semantic Segmentation Framework of Optical and SAR Images for Land use Classification.” International Journal of Applied Earth Observation and Geoinformation 106: 102638. https://doi.org/10.1016/j.jag.2021.102638.
   Web of Science ®Google Scholar
• Lin, Yinyi, Hongsheng Zhang, Hui Lin, Paolo Ettore Gamba, and Xiaoping Liu. 2020. “Incorporating Synthetic Aperture Radar and Optical Images to Investigate the Annual Dynamics of Anthropogenic Impervious Surface at Large Scale.” Remote Sensing of Environment 242: 111757. https://doi.org/10.1016/j.rse.2020.111757.
   Web of Science ®Google Scholar
• Long, Jonathan, Evan Shelhamer, and Trevor Darrell. 2015. “Fully Convolutional Networks for Semantic Segmentation.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2015.7298965.
   Google Scholar
• Lu, Dengsheng, Guiying Li, Wenhui Kuang, and Emilio Moran. 2014. “Methods to Extract Impervious Surface Areas from Satellite Images.” International Journal of Digital Earth 7 (2): 93–112. https://doi.org/10.1080/17538947.2013.866173.
   Web of Science ®Google Scholar
• Lu, Dengsheng, and Qihao Weng. 2009. “Extraction of Urban Impervious Surfaces from an IKONOS Image.” International Journal of Remote Sensing 30 (5): 1297–1311. https://doi.org/10.1080/01431160802508985.
   Web of Science ®Google Scholar
• Shao, Zhenfeng, Huyan Fu, Deren Li, Orhan Altan, and Tao Cheng. 2019. “Remote Sensing Monitoring of Multi-Scale Watersheds Impermeability for Urban Hydrological Evaluation.” Remote Sensing of Environment 232: 111338. https://doi.org/10.1016/j.rse.2019.111338.
   Web of Science ®Google Scholar
• Shao, Zhenfeng, Yingjie Tian, and Xiaole Shen. 2014. “BASI: A new Index to Extract Built-up Areas from High-Resolution Remote Sensing Images by Visual Attention Model.” Remote Sensing Letters 5 (4): 305–314. https://doi.org/10.1080/2150704X.2014.889861.
   Web of Science ®Google Scholar
• Simonyan, Karen, and Andrew Zisserman. 2014. “Very Deep Convolutional Networks for Large-scale Image Recognition.” arXiv preprint arXiv:1409.1556.
   Google Scholar
• Sun, Genyun, Ji Cheng, Aizhu Zhang, Xiuping Jia, Yanjuan Yao, and Zhijun Jiao. 2022a. “Hierarchical Fusion of Optical and Dual-Polarized SAR on Impervious Surface Mapping at City Scale.” ISPRS Journal of Photogrammetry and Remote Sensing 184: 264–278. https://doi.org/10.1016/j.isprsjprs.2021.12.008.
   Web of Science ®Google Scholar
• Sun, Zhongchang, Wenjie Du, Huiping Jiang, Qihao Weng, Huadong Guo, Youmei Han, Qiang Xing, and Yuanxu Ma. 2022b. “Global 10-m Impervious Surface Area Mapping: A Big Earth Data Based Extraction and Updating Approach.” International Journal of Applied Earth Observation and Geoinformation 109: 102800. https://doi.org/10.1016/j.jag.2022.102800.
   Web of Science ®Google Scholar
• Sun, Ke, Bin Xiao, Dong Liu, and Jingdong Wang. 2019. “Deep High-Resolution Representation Learning for Human Pose Estimation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/CVPR.2019.00584.
   Google Scholar
• Wang, Zhaoqi, Chencheng Gang, Xueling Li, Yizhao Chen, and Jianlong Li. 2015. “Application of a Normalized Difference Impervious Index (NDII) to Extract Urban Impervious Surface Features Based on Landsat TM Images.” International Journal of Remote Sensing 36 (4): 1055–1069. https://doi.org/10.1080/01431161.2015.1007250.
   Web of Science ®Google Scholar
• Wang, Yuliang, and Mingshi Li. 2019. “Urban Impervious Surface Detection from Remote Sensing Images: A Review of the Methods and Challenges.” IEEE Geoscience and Remote Sensing Magazine 7 (3): 64–93. https://doi.org/10.1109/MGRS.2019.2927260.
   Web of Science ®Google Scholar
• Weng, Qihao. 2012. “Remote Sensing of Impervious Surfaces in the Urban Areas: Requirements, Methods, and Trends.” Remote Sensing of Environment 117: 34–49. https://doi.org/10.1016/j.rse.2011.02.030.
   Web of Science ®Google Scholar
• Wu, Changshan. 2004. “Normalized Spectral Mixture Analysis for Monitoring Urban Composition Using ETM+ Imagery.” Remote Sensing of Environment 93 (4): 480–492. https://doi.org/10.1016/j.rse.2004.08.003.
   Web of Science ®Google Scholar
• Wu, Wenfu, Zhenfeng Shao, Xiao Huang, Jiahua Teng, Songjing Guo, and Deren Li. 2022. “Quantifying the Sensitivity of SAR and Optical Images Three-Level Fusions in Land Cover Classification to Registration Errors.” International Journal of Applied Earth Observation and Geoinformation 112: 102868. https://doi.org/10.1016/j.jag.2022.102868.
   Web of Science ®Google Scholar
• Xu, Hanqiu. 2010. “Analysis of Impervious Surface and its Impact on Urban Heat Environment Using the Normalized Difference Impervious Surface Index (NDISI).” Photogrammetric Engineering & Remote Sensing 76 (5): 557–565. https://doi.org/10.14358/PERS.76.5.557.
   Web of Science ®Google Scholar
• Yao, Jing, Bing Zhang, Chenyu Li, Danfeng Hong, and Jocelyn Chanussot. 2023. “Extended Vision Transformer (ExViT) for Land Use and Land Cover Classification: A Multimodal Deep Learning Framework.” IEEE Transactions on Geoscience and Remote Sensing 61. https://doi.org/10.1109/TGRS.2023.3284671.
   Web of Science ®Google Scholar
• Yu, Changqian, Changxin Gao, Jingbo Wang, Gang Yu, Chunhua Shen, and Nong Sang. 2021. “Bisenet v2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation.” International Journal of Computer Vision 129 (11): 3051–3068. https://doi.org/10.1007/s11263-021-01515-2.
   Web of Science ®Google Scholar
• Zhang, Hongsheng, Hui Lin, and Yu Li. 2015. “Impacts of Feature Normalization on Optical and SAR Data Fusion for Land use/Land Cover Classification.” IEEE Geoscience and Remote Sensing Letters 12 (5): 1061–1065. https://doi.org/10.1109/LGRS.2014.2377722.
   Web of Science ®Google Scholar
• Zhang, Hongsheng, Luoma Wan, Ting Wang, Yinyi Lin, Hui Lin, and Zezhong Zheng. 2019. “Impervious Surface Estimation from Optical and Polarimetric SAR Data Using Small-Patched Deep Convolutional Networks: A Comparative Study.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (7): 2374–2387. https://doi.org/10.1109/JSTARS.2019.2915277.
   Web of Science ®Google Scholar
• Zhang, Hongsheng, and Ru Xu. 2018. “Exploring the Optimal Integration Levels Between SAR and Optical Data for Better Urban Land Cover Mapping in the Pearl River Delta.” International Journal of Applied Earth Observation and Geoinformation 64: 87–95. https://doi.org/10.1016/j.jag.2017.08.013.
   Web of Science ®Google Scholar
• Zhang, Haotian, Jing Yao, Li Ni, Lianru Gao, and Min Huang. 2023. “Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16: 3635–3644. https://doi.org/10.1109/JSTARS.2022.3187730.
   Web of Science ®Google Scholar
• Zhang, Hongsheng, Yuanzhi Zhang, and Hui Lin. 2012. “A Comparison Study of Impervious Surfaces Estimation Using Optical and SAR Remote Sensing Images.” International Journal of Applied Earth Observation and Geoinformation 18: 148–156. https://doi.org/10.1016/j.jag.2011.12.015.
   Web of Science ®Google Scholar
• Zhao, Hengshuang, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia. 2017. “Pyramid Scene Parsing Network.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
   Google Scholar