A cokriging method for estimating population density in urban areas. - Changshan Wu; Alan T. Murray (Comput. Environ. Urban Syst., 2005)

Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach. - Chengbin Deng; Changshan Wu (Int. J. Appl. Earth Obs. Geoinformation, 2013)

Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data. - Lianru Gao; Bing Zhang 001; Xu Sun 005; Shanshan Li 003; Qian Du 001; Changshan Wu (EURASIP J. Adv. Signal Process., 2013)

Spatially Constrained Multiple Endmember Spectral Mixture Analysis for Quantifying Subpixel Urban Impervious Surfaces. - Changshan Wu; Chengbin Deng; Xiuping Jia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments. - Yingbin Deng; Changshan Wu; Miao Li; Renrong Chen (Int. J. Appl. Earth Obs. Geoinformation, 2015)

Modeling Urban Growth at a Micro Level: A Panel Data Analysis. - Rama Prasada Mohapatra; Changshan Wu (Int. J. Appl. Geospat. Res., 2015)

MODIS-Based Fractional Crop Mapping in the U.S. Midwest with Spatially Constrained Phenological Mixture Analysis. - Cheng Zhong; Cuizhen Wang; Changshan Wu (Remote. Sens., 2015)

Development of a Class-Based Multiple Endmember Spectral Mixture Analysis (C-MESMA) Approach for Analyzing Urban Environments. - Yingbin Deng; Changshan Wu (Remote. Sens., 2016)

A Geographic Information-Assisted Temporal Mixture Analysis for Addressing the Issue of Endmember Class and Endmember Spectra Variability. - Wenliang Li; Changshan Wu (Sensors, 2017)

Predicting future urban impervious surface distribution using cellular automata and regression analysis. - Wenliang Li; Changshan Wu; Woonsup Choi (Earth Sci. Informatics, 2018)

Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features. - Jike Chen; Peijun Du; Changshan Wu; Junshi Xia; Jocelyn Chanussot (Remote. Sens., 2018)

Hydrological Regime Monitoring and Mapping of the Zhalong Wetland through Integrating Time Series Radarsat-2 and Landsat Imagery. - Xiaodong Na 001; Shuying Zang; Changshan Wu; Yang Tian; Wenliang Li (Remote. Sens., 2018)

Mapping Soil Alkalinity and Salinity in Northern Songnen Plain, China with the HJ-1 Hyperspectral Imager Data and Partial Least Squares Regression. - Lin Bai 003; Cuizhen Wang; Shuying Zang; Changshan Wu; Jinming Luo; Yuexiang Wu (Sensors, 2018)

Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis. - Changyu Zhu; Jun Li 009; Shaoquan Zhang; Changshan Wu; Bing Zhang 001; Lianru Gao; Antonio Plaza (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Examining the Deep Belief Network for Subpixel Unmixing with Medium Spatial Resolution Multispectral Imagery in Urban Environments. - Yingbin Deng; Renrong Chen; Changshan Wu (Remote. Sens., 2019)

Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme. - Guoyin Cai; Huiqun Ren; Liuzhong Yang; Ning Zhang; Mingyi Du; Changshan Wu (Sensors, 2019)

Inversion of Lake Bathymetry through Integrating Multi-Temporal Landsat and ICESat Imagery. - Yuannan Long; Shixiong Yan; Changbo Jiang; Changshan Wu; Rong Tang; Shixiong Hu (Sensors, 2019)

Improving Impervious Surface Estimation by Using Remote Sensed Imagery Combined With Open Street Map Points-of-Interest (POI) Data. - Wei Fan; Changshan Wu; Jin Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Introduction to advancements of GIS in the new IT era. - Weiwei Song; Changshan Wu (Ann. GIS, 2021)

Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive Sparse Constrained Least Squares Linear Spectral Mixture Model. - Xiaodong Na 001; Xingmei Li; Wenliang Li; Changshan Wu (Remote. Sens., 2021)

DAENet: Deformable Attention Edge Network for Automatic Coastline Extraction from Satellite Imagery. - Buyun Kang; Jian Wu; Jinyong Xu; Changshan Wu (Remote. Sens., 2024)