Classification Of Hyperspectral Images Using Deep Learning Architecture for Remote Sensing Applications
Author:
Affiliation:
1. Karunya Institute of Technology and Sciences,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9784926/9784957/09785300.pdf?arnumber=9785300
Reference12 articles.
1. Remote Sensing Sensors and Applications in Environmental Resources Mapping and Modelling
2. Machine learning in geosciences and remote sensing
3. U-Net convolutional neural network models for detecting and quantifying placer mining disturbances at watershed scales
4. Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery
5. Land Use Land Cover Classification with U-Net: Advantages of Combining Sentinel-1 and Sentinel-2 Imagery
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3. A Comparative Analysis of Gradient Boost Algorithm and Deep Neural Network for Land Cover Land Use Classification;2023 9th International Conference on Smart Computing and Communications (ICSCC);2023-08-17
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