APPLICATION OF DEEP LEARNING CROP CLASSIFICATION MODEL BASED ON MULTISPECTRAL AND SAR SATELLITE IMAGERY

Classifying crops using satellite data is a challenge, especially since most crops have similar growth cycles. Due to their different characteristics and chlorophyll content, different crops exhibit subtle differences in their reflectance spectra. This study uses a data-driven approach to build a se...

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Bibliographic Details
Main Authors: Y. Qi, G. Bitelli, E. Mandanici, F. Trevisiol
Format: Article
Language:English
Published: Copernicus Publications 2023-12-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://isprs-archives.copernicus.org/articles/XLVIII-1-W2-2023/1515/2023/isprs-archives-XLVIII-1-W2-2023-1515-2023.pdf