Temperature scaling unmixing framework based on convolutional autoencoder
•Different degrees of sparsity constraints are imposed adaptively in deep learning networks by temperature scaling techniques.•By considering the distribution of ground objects, it has good generalization in the real scene.•The framework is a new spatial level constraint method and can be transferre...
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| Published in: | International journal of applied earth observation and geoinformation Vol. 129; p. 103864 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.05.2024
Elsevier |
| Subjects: | |
| ISSN: | 1569-8432, 1872-826X |
| Online Access: | Get full text |
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