Citations (22)
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Zhenfeng Shao, Yuan Zhang, Cheng Zhang, Xiao Huang & Tao Cheng. (2022) Mapping impervious surfaces with a hierarchical spectral mixture analysis incorporating endmember spatial distribution. Geo-spatial Information Science 25:4, pages 550-567.
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Junhwa Chi & Hyun-Cheol Kim. (2017) A fully data-driven method for predicting Antarctic sea ice concentrations using temporal mixture analysis and an autoregressive model. Remote Sensing Letters 8:2, pages 106-115.
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Wenliang Li & Changshan Wu. (2016) A geostatistical temporal mixture analysis approach to address endmember variability for estimating regional impervious surface distributions. GIScience & Remote Sensing 53:1, pages 102-121.
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Zhang Zhang, Chong Liu, Jiancheng Luo, Zhanfeng Shen & Zhenfeng Shao. (2015) Applying spectral mixture analysis for large-scale sub-pixel impervious cover estimation based on neighbourhood-specific endmember signature generation. Remote Sensing Letters 6:1, pages 1-10.
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Articles from other publishers (17)
Shaojuan Xu & Stefan Fina. (2023) National-scale imperviousness mapping and detection of urban land changes. ISPRS Journal of Photogrammetry and Remote Sensing 202, pages 369-384.
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Yuxian Wang, Rongming Zhuo, Linlin Xu & Yuan Fang. (2023) A Spatial–Temporal Bayesian Deep Image Prior Model for Moderate Resolution Imaging Spectroradiometer Temporal Mixture Analysis. Remote Sensing 15:15, pages 3782.
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Linke Ouyang, Caiyan Wu, Junxiang Li, Yuhan Liu, Meng Wang, Ji Han, Conghe Song, Qian Yu & Dagmar Haase. (2022) Mapping Impervious Surface Using Phenology-Integrated and Fisher Transformed Linear Spectral Mixture Analysis. Remote Sensing 14:7, pages 1673.
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Wenliang Li. (2021) Mapping urban land use by combining multi-source social sensing data and remote sensing images. Earth Science Informatics 14:3, pages 1537-1545.
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Wenliang Li. (2021) Improving Urban Impervious Surfaces Mapping through Integrating Statistical Methods and Spectral Mixture Analysis. Remote Sensing 13:13, pages 2474.
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Fanggang Li, Erzhu Li, Ce Zhang, Alim Samat, Wei Liu, Chunmei Li & Peter M. Atkinson. (2021) Estimating Artificial Impervious Surface Percentage in Asia by Fusing Multi-Temporal MODIS and VIIRS Nighttime Light Data. Remote Sensing 13:2, pages 212.
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Daniel Sousa & Frank W. Davis. (2020) Scalable mapping and monitoring of Mediterranean-climate oak landscapes with temporal mixture models. Remote Sensing of Environment 247, pages 111937.
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Xiaojiao Guo, Chengcai Zhang, Weiran Luo, Jing Yang & Miao Yang. (2020) Urban Impervious Surface Extraction Based on Multi-Features and Random Forest. IEEE Access 8, pages 226609-226623.
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Wenliang Li. (2019) Mapping Urban Impervious Surfaces by Using Spectral Mixture Analysis and Spectral Indices. Remote Sensing 12:1, pages 94.
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Li Zhuo, Qingli Shi, Haiyan Tao, Jing Zheng & Qiuping Li. (2018) An improved temporal mixture analysis unmixing method for estimating impervious surface area based on MODIS and DMSP-OLS data. ISPRS Journal of Photogrammetry and Remote Sensing 142, pages 64-77.
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Wenliang Li, Changshan Wu & Woonsup Choi. (2017) Predicting future urban impervious surface distribution using cellular automata and regression analysis. Earth Science Informatics 11:1, pages 19-29.
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Wenliang Li. (2017) Examining the importance of endmember class and spectra variability in unmixing analysis for mapping urban impervious surfaces. Advances in Space Research 60:11, pages 2389-2401.
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Wenliang Li & Changshan Wu. (2017) A Geographic Information-Assisted Temporal Mixture Analysis for Addressing the Issue of Endmember Class and Endmember Spectra Variability. Sensors 17:3, pages 624.
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Jun Chen, Ian Dowman, Songnian Li, Zhilin Li, Marguerite Madden, Jon Mills, Nicolas Paparoditis, Franz Rottensteiner, Monika Sester, Charles Toth, John Trinder & Christian Heipke. (2016) Information from imagery: ISPRS scientific vision and research agenda. ISPRS Journal of Photogrammetry and Remote Sensing 115, pages 3-21.
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Wenliang Li & Changshan Wu. (2015) Incorporating land use land cover probability information into endmember class selections for temporal mixture analysis. ISPRS Journal of Photogrammetry and Remote Sensing 101, pages 163-173.
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Zhenfeng Shao & Chong Liu. (2014) The Integrated Use of DMSP-OLS Nighttime Light and MODIS Data for Monitoring Large-Scale Impervious Surface Dynamics: A Case Study in the Yangtze River Delta. Remote Sensing 6:10, pages 9359-9378.
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