FRACTIONAL SNOW COVER MAPPING BY ARTIFICIAL NEURAL NETWORKS AND SUPPORT VECTOR MACHINES

6 citations as recorded by crossref.

1. Regional land planning based on BPNN and space mining technology L. Su & L. Fu 10.1007/s00521-020-05316-5
2. STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. 10.5194/essd-14-3137-2022
3. Estimating Fractional Snow Cover in the Pan-Arctic Region Using Added Vegetation Extraction Algorithm Y. Ma et al. 10.3390/rs15030775
4. Density-weighted support vector machines for binary class imbalance learning B. Hazarika & D. Gupta 10.1007/s00521-020-05240-8
5. Deep learning in environmental remote sensing: Achievements and challenges Q. Yuan et al. 10.1016/j.rse.2020.111716
6. Comparing the performance of fuzzy operators in the object-based image analysis and support vector machine kernel functions for the snow cover estimation in Alvand Mountain M. Karampour et al. 10.1007/s00704-023-04724-6