Segmentation and classification algorithms applied to sentinel-2A images for geological mapping: case of the Al Glo’a sheet (1/50000), Morocco

Bulletin of the Mineral Research and Exploration

Khalid El Fazazy¹  Mouhssine El Atıllah¹  Abdessamad El Atıllah²  Mustapha Souhassou²  Zine El Abidine El Morjanı² 

[1] Computer Science, Signals, Automation and Cognitivism Laboratory (LISAC), FSDM, USMBA, Fes, Morocco;Ibn Zohr University, Polydisciplinary Faculty of Taroudant, Egerne, Taroundant, Morocco;

关键词: segmentation algorithms;    classification algorithms;    sentinel 2a;    anti-atlas.;   

DOI  :  10.19111/bulletinofmre.864492

来源: DOAJ

【 摘 要 】

The multispectral image, of Landsat 7 and 8; Aster and Sentinel-2A, has good results in lithological, structural, hydrothermal and mineralogical alteration mapping. Segmentation and image classification are two complementary steps as they are allowed the most important operations in the field of image processing. In this sense, this work aims at evaluating the potential of segmentation and classification algorithms for the generation of surface geological maps, hydrothermal alterations andlineaments.Giventhegoodresolutionofthe Sentinel2A (10m),thethreeimages,(11/12; 11/2; 11/8), 12.8.2, main component 1, 2 and 3 (11.12.2), processed by five algorithms (K-means, isodata, watershed, efficient graph-based image segmentation, thresholding) for geological mapping andthenminingexploration.Thestudy displayedthat1)Watershedalgorithmcanbeusedfor topographic and hydraulic studies, it can be very useful in the preparation phase of geological and mining infrastructures; 2) threshold segmentation does not give good results in terms of geological discriminationsinceitdivides eachimageintotwoparts;3)thesamethingfortheeffective thresholdingand segmentationofgraph-basedimages;4)TheIsodataandK-meansalgorithms show good geological discrimination.

【 授权许可】

Unknown