高光谱(GF-5)与多光谱影像在冈底斯成矿带的蚀变信息提取

doi:10.13474/j.cnki.11-2246.2025.1105

摘要/Abstract

摘要： 围岩蚀变是热液矿床成矿作用的重要标志,是矿产勘查的关键指示信息。随着遥感技术的发展,多光谱影像在矿物识别和岩性填图中得到广泛应用,而高光谱影像因具有更强的地物识别能力而备受关注。我国自主研发的高分五号(GF-5)卫星集成了宽幅和高光谱分辨率技术的双重优势,但在青藏高原偏远地区的蚀变矿物识别能力仍需检验。本文以冈底斯成矿带为研究区,对比分析了GF-5影像与ASTER影像在蚀变矿物识别中的应用效果。采用4种混合像元分解方法结合光谱角分类对GF-5影像进行处理,成功识别出绿泥石和白云母等典型蚀变矿物组合;利用改进的Crosta技术对ASTER影像进行处理,提取铁染蚀变、镁羟基蚀变和铝羟基蚀变3种蚀变类型。地面钻口验证表明,GF-5和ASTER数据的总体识别精度分别为0.875和0.625,证明了GF-5影像能够在青藏高原偏远地区实现较高精度的矿物信息识别,在矿产勘查中具有显著优势和应用前景。

关键词: GF-5影像, ASTER影像, 冈底斯成矿带, 蚀变矿物, 混合像元分解

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

中图分类号:

P237

刘星宇, 邱春霞. 高光谱(GF-5)与多光谱影像在冈底斯成矿带的蚀变信息提取[J]. 测绘通报, 2025, 0(11): 27-33.

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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