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...

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Detaylı Bibliyografya
Asıl Yazarlar: Aguilar Torres, Manuel Ángel, Bianconi Pettirossi, Francesco, Aguilar Torres, Fernando José, Fernández Luque, Ismael
Materyal Türü: info:eu-repo/semantics/article
Dil:English
Baskı/Yayın Bilgisi: MDPI 2020
Konular:
object-based classification
greenhouses
GeoEye-1
WorldView-2
normalized digital surface model
multiangle image
Online Erişim:http://hdl.handle.net/10835/7370

Internet

http://hdl.handle.net/10835/7370

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