Guided Filtered Sparse Auto-Encoder for Accurate Crop Mapping from Multitemporal and Multispectral Imagery

Guided Filtered Sparse Auto-Encoder for Accurate Crop Mapping from Multitemporal and Multispectral Imagery

Accurate crop mapping is a fundamental requirement in various agricultural applications, such as inventory, yield modeling, and resource management. However, it is challenging due to crop fields’ high spectral, spatial, and temporal variabilities. New technology in space-borne Earth observation syst...

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Bibliographic Details
Main Authors:	Masoumeh Hamidi, Abdolreza Safari, Saeid Homayouni, Hadiseh Hasani
Format:	Article
Language:	English
Published:	MDPI AG 2022-10-01
Series:	Agronomy
Subjects:	crop mapping crop field boundary deep learning edge-aware filtering sparse auto-encoder
Online Access:	https://www.mdpi.com/2073-4395/12/11/2615

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