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

12 citations as recorded by crossref.

1. Lithological Mapping in Plateau Regions by Integrating Spectral Feature Selection and Deep Learning: A Case Study of the Gonjo Area, Tibet H. Liu et al. https://doi.org/10.3390/rs18101621
2. Potential Assessment of PRISMA Hyperspectral Imagery for Remote Sensing Applications R. Shaik et al. https://doi.org/10.3390/rs15051378
3. Dolomite, quartzite, and sand indices defined for PRISMA hyperspectral data. Application to the Tamlalet inlier (Eastern High Atlas, Morocco) A. Marzouki & A. Dridri https://doi.org/10.1016/j.asr.2024.09.070
4. PRISMA hyperspectral satellite imagery for mapping alteration minerals and zones in Aktogay porphyry copper deposit, Kazakhstan: implications for new discoveries E. Orynbassarova et al. https://doi.org/10.1080/10106049.2025.2591763
5. Dual spectral-spatial residual adaptive network for hyperspectral image classification in the presence of noisy labels K. Sarpong et al. https://doi.org/10.1016/j.engappai.2024.109900
6. PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Châh-e-Shur Region, Birjand, Iran J. Habashi et al. https://doi.org/10.3390/rs16071277
7. Leveraging the Potential of PRISMA Hyperspectral Data for Forest Tree Species Classification: A Case Study in Southern Italy G. Delogu et al. https://doi.org/10.3390/rs16244788
8. New Generation Hyperspectral Data From DESIS Compared to High Spatial Resolution PlanetScope Data for Crop Type Classification I. Aneece et al. https://doi.org/10.1109/JSTARS.2022.3204223
9. 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 https://doi.org/10.1007/s40995-024-01741-6
10. Index-based forest degradation mapping using high and medium resolution multispectral sensors D. Rodríguez-Esparragón et al. https://doi.org/10.1080/17538947.2024.2365981
11. Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support G. Delogu et al. https://doi.org/10.3390/su151813786
12. Delineating Blue-Dust Enriched Zones Within Banded Hematite Quartzite Using PRISMA Data: A Study in the Bolani Region, Odisha, India D. Singh et al. https://doi.org/10.1007/s12524-024-01980-5