A Multiclass Deep Learning Approach for LULC Classification of Multispectral Satellite Images
Author:
Affiliation:
1. PES University,Department of Computer Science,Bengaluru,Karnataka,India
2. ISRO,RRSC-South National Remote Sensing Centre,Bengaluru,Karnataka,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9358466/9358913/09358947.pdf?arnumber=9358947
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1. Multispectral Semantic Segmentation for Land Cover Classification: An Overview;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. Mapping of Land Use and Land Cover (LULC) Using EuroSAT and Transfer Learning;Revue Internationale de Géomatique;2024
3. Use of machine learning-based classification algorithms in the monitoring of Land Use and Land Cover practices in a hilly terrain;Environmental Monitoring and Assessment;2023-12-05
4. Deep Learning Technique For Effective Segmentation Of Water Bodies Using Remote Sensing Images;2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA);2023-08-03
5. Methodology for Classifying Objects in High-Resolution Optical Images Using Deep Learning Techniques;Lecture Notes in Electrical Engineering;2023
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