INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA

J. D. Mohite, S. A. Sawant, A. Pandit, S. Pappula

Open source

DOI
10.5194/isprs-archives-xliii-b3-2020-1379-2020
Published
2020-08-22
Container
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publisher
Copernicus GmbH
Open access
unknown

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BibTeX

@article{allodium:10.5194/isprs-archives-xliii-b3-2020-1379-2020,
  title = {INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA},
  author = {J. D. Mohite and S. A. Sawant and A. Pandit and S. Pappula},
  year = {2020},
  journal = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
  doi = {10.5194/isprs-archives-xliii-b3-2020-1379-2020},
  url = {https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020}
}

RIS

TY  - JOUR
TI  - INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA
AU  - J. D. Mohite
AU  - S. A. Sawant
AU  - A. Pandit
AU  - S. Pappula
PY  - 2020
JO  - The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
DO  - 10.5194/isprs-archives-xliii-b3-2020-1379-2020
UR  - https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020
ER  - 

APA

Mohite, J. D., Sawant, S. A., Pandit, A., & Pappula, S. (2020). INVESTIGATING THE PERFORMANCE OF RANDOM FOREST AND SUPPORT VECTOR REGRESSION FOR ESTIMATION OF CLOUD-FREE NDVI USING SENTINEL-1 SAR DATA. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1379-2020

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