Despite an ever-increasing number of spaceborne, airborne, and ground-based data
acquisition platforms, remote sensing data are still often spatially incomplete or temporally …

A recently proposed method based on the spectral similarity-enhanced Markov chain
random field cosimulation (SS-coMCRF) model has provided a practical approach for …

Urban growth consists of horizontal and vertical expansions. An integrative framework for
estimating horizontal and vertical expansions of city urban areas using Landsat images was …

Land use and land cover (LULC) change is a critical component in the global environment
change process. The southern and western areas of the United States have experienced …

The aim of this study is to test the performance of the Rotation Forest (RTF) algorithm in
areas that have similar characteristics by using Unmanned Aerial Vehicle (UAV) images for …

Natural and anthropogenic forces on Earth create changes in biophysical characteristics of
landscapes in the forms of modifications or transformations. Since landscapes are …

Land use/land cover maps derived from remotely sensed imagery are often insufficient in
quality for some quantitative application purposes due to a variety of reasons such as …

This paper aims at exploring the potentiality of the multimodal fusion of remote sensing
imagery with information coming from mobility demand data in the framework of land-use …

The task of accurately mapping species-specific vegetation cover in remote and
topographically complex regions like those found in Hawaiʻi presents unique challenges …

遥感作为提取土地覆盖类型的主要手段对监测土地利用变化和制定国家政策具有重要意义.
通过利用影像的光谱, 形状和纹理信息, 面向对象分类方法能够比基于像元的分类方法提供更高 …