Land Use Land Cover Classification in Remote Sensing Using Machine Learning Techniques
Author:
Affiliation:
1. G.B. Pant Institute of Engineering and Technology,Computer Science And Engineering,Pauri Garhwal,India,246194
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10126137/10126504/10127126.pdf?arnumber=10127126
Reference26 articles.
1. Land use/cover classification in an arid desert-oasis mosaic landscape of China using remote sensed imagery: Performance assessment of four machine learning algorithms
2. Analysis of Post-flood Impacts on Sentinel-2 Data Using Non-parametric Machine Learning Classifiers: A Case Study from Bihar Floods, Saharsa, India
3. Implementation of Machine Learning Classifiers for Built-up Extraction Using Textural Features on Sentinel-2 Data
4. Experimental Evaluation of Sentinel-2 Spectral Response Functions for NDVI Time-Series Continuity
5. Analyzing the impact of red-edge band on land use land cover classification using multispectral RapidEye imagery and machine learning techniques
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