Field-Level Crop Classification Using an Optimal Dataset of Multi-temporal Sentinel-1 and Polarimetric RADARSAT-2 SAR Data with Machine Learning Algorithms-Reference-Cited by-同舟云学术

Field-Level Crop Classification Using an Optimal Dataset of Multi-temporal Sentinel-1 and Polarimetric RADARSAT-2 SAR Data with Machine Learning Algorithms

Published:2021-10-08 Issue:12 Volume:49 Page:2945-2958
ISSN:0255-660X
Container-title:Journal of the Indian Society of Remote Sensing
language:en
Short-container-title:J Indian Soc Remote Sens

Author:

Neetu ^ORCID,Meshram Pritam,Ray S. S.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geography, Planning and Development

Link

https://link.springer.com/content/pdf/10.1007/s12524-021-01436-0.pdf

Reference54 articles.

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3. Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery., 2(2), 121–167.

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5. Cloude, S. R., & Pottier, E. (1996). A review of target decomposition theorems in radar polarimetry. IEEE Transactions on Geoscience and Remote Sensing, 34(2), 498–518.

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