Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery

Object-Based Greenhouse Classification from GeoEye-1 and WorldView-2 Stereo Imagery

Remote sensing technologies have been commonly used to perform greenhouse detection and mapping. In this research, stereo pairs acquired by very high-resolution optical satellites GeoEye-1 (GE1) and WorldView-2 (WV2) have been utilized to carry out the land cover classification of an agricultural ar...

書誌詳細
主要な著者:	Aguilar Torres, Manuel Ángel, Bianconi Pettirossi, Francesco, Aguilar Torres, Fernando José, Fernández Luque, Ismael
フォーマット:	info:eu-repo/semantics/article
言語:	English
出版事項:	MDPI 2020
主題:	object-based classification greenhouses GeoEye-1 WorldView-2 normalized digital surface model multiangle image
オンライン･アクセス:	http://hdl.handle.net/10835/7370

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