A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network

A Land Cover Classification Method for High-Resolution Remote Sensing Images Based on NDVI Deep Learning Fusion Network

High-resolution remote sensing (HRRS) images have few spectra, low interclass separability and large intraclass differences, and there are some problems in land cover classification (LCC) of HRRS images that only rely on spectral information, such as misclassification of small objects and unclear bo...

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Detaylı Bibliyografya
Asıl Yazarlar: Jingzheng Zhao, Liyuan Wang, Hui Yang, Penghai Wu, Biao Wang, Chengrong Pan, Yanlan Wu
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: MDPI AG 2022-10-01
Seri Bilgileri:Remote Sensing
Konular:
deep learning
ecological service value
high-resolution remote sensing
land cover classification
NDVI fusion
Online Erişim:https://www.mdpi.com/2072-4292/14/21/5455

Internet

https://www.mdpi.com/2072-4292/14/21/5455

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