ENHANCED U-NET ALGORITHM FOR TYPICAL CROP CLASSIFICATION USING GF-6 WFV REMOTE SENSING IMAGES
ABSTRACT Accurate crop classification, crucial for a macro-level understanding of food production, formulating relevant agricultural policies, and predicting comprehensive agricultural productivity, enables precise crop distribution. In remote sensing image classification, feature selection and repr...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sociedade Brasileira de Engenharia Agrícola
2024-04-01
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| Series: | Engenharia Agrícola |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162024000100308&tlng=en |