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Metal Mine ›› 2012, Vol. 41 ›› Issue (08): 84-87+91.

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Mineral Identification Based on the Optimized N-FINDR Algorithm of Hyperspectral Remote Sensing Images

Qian Jin1,2，Deng Kazhong1,2，Liu Dong1,2   

  1. 1.Jiangsu Key Laboratory of Resources and Environmental Information Engineering；2.Key Laboratory for Land Resources and Disaster Monitoring of SBSM
  • Online:2012-08-15 Published:2012-08-29

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Abstract: In order to improve the accuracy of mineral identification，use the Cuprite regional AVIRIS and HYMAP hyperspectral data to extract the mineral end members based on LSMM and a optimized N-FINDR algorithm，and accurately identify minerals.Experiments show that：Linear spectral mixture model is easy to operate，the optimized N-FINDR algorithm is superior to traditional interactive end member extraction method，recommend for fine identification of the mineral composition.

Key words: Hyperspectral remote sensing, Mineral identification, Linear spectral mixture model, End member extraction