Alteration information extraction from hyperspectral(GF-5)and multispectral images in the Gangdise metallogenic belt

doi:10.13474/j.cnki.11-2246.2025.1105

Abstract

Abstract: Wall rock alteration is a significant indicator of hydrothermal mineralization and provides crucial information for mineral exploration.With the development of remote sensing technology,multispectral imagery has been widely used in mineral identification and lithological mapping,while hyperspectral imagery has attracted considerable attention due to its superior capability in ground object recognition.The Chinese independently developed GF-5 satellite integrates the dual advantages of wide-swath and high spectral resolution technology,however,its capability for alteration mineral identification in remote areas of the Tibetan Plateau still needs validation.This study,focused on the Gangdise metallogenic belt,compares the effectiveness of GF-5 and ASTER imagery in detecting alteration minerals.Four mixed pixel decomposition methods integrated with SAM classification are applied to GF-5 data,enabling the successful identification of characteristic alteration mineral assemblages such as chlorite and muscovite.Meanwhile,the improved Crosta technique was employed to process ASTER imagery,extracting three types of alteration:iron staining,Mg-OH alteration,and Al-OH alteration.Ground drill hole validation showed that the overall identification accuracies of GF-5 and ASTER data were 0.875 and 0.625 respectively,demonstrating that GF-5 imagery can achieve high-precision mineral information identification in remote areas of the Tibetan Plateau,offering significant advantages and application prospects in mineral exploration.

Key words: GF-5 imagery, ASTER imagery, Gangdise metallogenic belt, alteration minerals, mixed pixel decomposition

CLC Number:

P237

LIU Xingyu, QIU Chunxia. Alteration information extraction from hyperspectral(GF-5)and multispectral images in the Gangdise metallogenic belt[J]. Bulletin of Surveying and Mapping, 2025, 0(11): 27-33.

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