VHR Semantic Labeling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine

Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labe...

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Hlavní autoři:	M. Kakooei, Y. Baleghi
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Shahrood University of Technology 2020-07-01
Edice:	Journal of Artificial Intelligence and Data Mining
Témata:	vhr semantic labeling spatial feature google earth engine glcm random forest
On-line přístup:	http://jad.shahroodut.ac.ir/article_1788_a0e317f5794069a86834fbc6a25802da.pdf
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