A lightweight CNN-LSTM hybrid model for land cover classification in satellite imagery
Satellite image classification has a significant impact in the fields of agriculture, urban planning, and environmental monitoring. However, traditional Convolutional Neural Networks (CNNs) require high computational demand, a large number of parameters, and a long training time for classification t...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2521828 |
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