Improving Urban Impervious Surfaces Mapping through Integrating Statistical Methods and Spectral Mixture Analysis
Impervious surfaces have been widely considered as the key indicator for evaluating urbanization and environmental quality. As one of the most widely applied methods, spectral mixture analysis (SMA) has been commonly used for mapping urban impervious surface fractions. When implementing SMA, the ori...
Main Author: | Wenliang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/13/2474 |
Similar Items
-
Mapping Urban Impervious Surfaces by Using Spectral Mixture Analysis and Spectral Indices
by: Wenliang Li
Published: (2019-12-01) -
Impervious Surface Extraction by Linear Spectral Mixture Analysis with Post-Processing Model
by: Yi Zhao, et al.
Published: (2020-01-01) -
Incorporating Endmember Variability into Linear Unmixing of Coarse Resolution Imagery: Mapping Large-Scale Impervious Surface Abundance Using a Hierarchically Object-Based Spectral Mixture Analysis
by: Chengbin Deng
Published: (2015-07-01) -
Improving Accuracy of Impervious Surface Extraction Based on a Threshold Hierarchical Method (THM)
by: Caige Sun, et al.
Published: (2020-11-01) -
Extraction of High-Precision Urban Impervious Surfaces from Sentinel-2 Multispectral Imagery via Modified Linear Spectral Mixture Analysis
by: Rudong Xu, et al.
Published: (2018-08-01)