Changshan Wu

Orcid: 0000-0002-0207-9299

According to our database1, Changshan Wu authored at least 20 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Wetland Mapping Using HJ-1A/B Hyperspectral Images and an Adaptive Sparse Constrained Least Squares Linear Spectral Mixture Model.
Remote. Sens., 2021

Introduction to advancements of GIS in the new IT era.
Ann. GIS, 2021

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

Inversion of Lake Bathymetry through Integrating Multi-Temporal Landsat and ICESat Imagery.
Sensors, 2019

Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme.
Sensors, 2019

Examining the Deep Belief Network for Subpixel Unmixing with Medium Spatial Resolution Multispectral Imagery in Urban Environments.
Remote. Sens., 2019

2018
Impervious Surface Extraction From Multispectral Images via Morphological Attribute Profiles Based on Spectral Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. 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.
Sensors, 2018

Hydrological Regime Monitoring and Mapping of the Zhalong Wetland through Integrating Time Series Radarsat-2 and Landsat Imagery.
Remote. Sens., 2018

Mapping Urban Land Cover of a Large Area Using Multiple Sensors Multiple Features.
Remote. Sens., 2018

Predicting future urban impervious surface distribution using cellular automata and regression analysis.
Earth Sci. Informatics, 2018

2017
A Geographic Information-Assisted Temporal Mixture Analysis for Addressing the Issue of Endmember Class and Endmember Spectra Variability.
Sensors, 2017

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

2015
MODIS-Based Fractional Crop Mapping in the U.S. Midwest with Spatially Constrained Phenological Mixture Analysis.
Remote. Sens., 2015

Modeling Urban Growth at a Micro Level: A Panel Data Analysis.
Int. J. Appl. Geospat. Res., 2015

RNDSI: A ratio normalized difference soil index for remote sensing of urban/suburban environments.
Int. J. Appl. Earth Obs. Geoinformation, 2015

2014
Spatially Constrained Multiple Endmember Spectral Mixture Analysis for Quantifying Subpixel Urban Impervious Surfaces.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014

2013
Optimized maximum noise fraction for dimensionality reduction of Chinese HJ-1A hyperspectral data.
EURASIP J. Adv. Signal Process., 2013

Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach.
Int. J. Appl. Earth Obs. Geoinformation, 2013

2005
A cokriging method for estimating population density in urban areas.
Comput. Environ. Urban Syst., 2005


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