期刊论文

Tao, Jianbin

英文

International Journal of Remote Sensing

0143-1161

2016

37

1

1-13

10.1080/2150704X.2015.1101502

Key Laboratory of Geographic Conditions Monitoring, National Administration of Surveying, Mapping and Geoinformation, PR China [2014NGCM04]; major cultivating project of CCNU, the Geographic Processes and Ecological Response in the Middle Reach of the Yangtze River [CCNU15ZD001]; faculties' start-up fund for scientific research Central China Normal University (Theories and Methodologies of CO2 Estimates Using Remote Sensing Data in Urban Area)

本校为第一且通讯机构

This article proposes a Gaussian-mixture-model (GMM)-based method with optimal Gaussian components to address the high intra-class spectral variability in urban land-cover mapping using remote sensing images with very high resolution (VHR). GMMs can simulate and approximate any data distribution provided the optimal Gaussian components can be found. Through improving the model parameters in view of the characteristic of VHR remote sensing images, the parameter space of GMM is optimized significantly, and the model can find the optimal Gaussian components that are suitable for remote sensing im...