FEATURE EXTRACTION OF DESIS AND PRISMA HYPERSPECTRAL REMOTE SENSING DATASETS FOR GEOLOGICAL APPLICATIONS

10 citations as recorded by crossref.

1. Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications R. Shaik et al. 10.3390/rs15051378
2. Dolomite, quartzite, and sand indices defined for PRISMA hyperspectral data. Application to the Tamlalet inlier (Eastern High Atlas, Morocco) A. Marzouki & A. Dridri 10.1016/j.asr.2024.09.070
3. Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels K. Sarpong et al. 10.1016/j.engappai.2024.109900
4. PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran J. Habashi et al. 10.3390/rs16071277
5. Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy G. Delogu et al. 10.3390/rs16244788
6. New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification I. Aneece et al. 10.1109/JSTARS.2022.3204223
7. Sub-pixel Mapping of Alteration Minerals Using the PRISMA Hyperspectral Data; A Case Study of Daralu Porphyry Copper Deposit, SE Iran Z. Kahnouj & M. Tangestani 10.1007/s40995-024-01741-6
8. Index-based forest degradation mapping using high and medium resolution multispectral sensors D. Rodríguez-Esparragón et al. 10.1080/17538947.2024.2365981
9. Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support G. Delogu et al. 10.3390/su151813786
10. Delineating Blue-Dust Enriched Zones Within Banded Hematite Quartzite Using PRISMA Data: A Study in the Bolani Region, Odisha, India D. Singh et al. 10.1007/s12524-024-01980-5