LITHOLOGICAL CLASSIFICATION USING MULTI-SENSOR DATA AND CONVOLUTIONAL NEURAL NETWORKS

7 citations as recorded by crossref.

1. Landslide Susceptibility Mapping Using Feature Fusion-Based CPCNN-ML in Lantau Island, Hong Kong Y. Chen et al. 10.1109/JSTARS.2021.3066378
2. Geological Mapping Using Direct Sampling and a Convolutional Neural Network Based on Geochemical Survey Data Z. Wang et al. 10.1007/s11004-022-10023-z
3. Pattern Recognition in the Tasks of Landform Mapping S. Kharchenko 10.31857/S2587556623010089
4. Remote Sensing for Lithology Mapping in Vegetation-Covered Regions: Methods, Challenges, and Opportunities Y. Chen et al. 10.3390/min13091153
5. Application of Lithological Mapping Based on Advanced Hyperspectral Imager (AHSI) Imagery Onboard Gaofen-5 (GF-5) Satellite B. Ye et al. 10.3390/rs12233990
6. Lithological Mapping Based on Fully Convolutional Network and Multi-Source Geological Data Z. Wang et al. 10.3390/rs13234860
7. Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network Y. Dong et al. 10.1016/j.jag.2024.103780