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航天遥感信息提取技术方法与地质遥感技术在植被覆盖地区的找矿应用 被引量:6

Application of space remote sensing collecting method and geological remote sensing technique in mineral prospecting for vegetated terrain
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摘要 简述宽波段或高光谱遥感技术方法及亚象元、低概率目标探测技术的研究及应用现状。结合大兴安岭地区矿产资源勘查的背景条件,系统阐述该技术在植被覆盖地区地质找矿的应用流程。这一研究方案的实施及可能获得的成果,将改善在植被覆盖地区的地质找矿工作。 Romote sensing technical method of wide band or high spectrum is described briefly and the research and applying status of subpixel,low probability and object detection are introduced. With the background of the ore resources exploration in Daxing'anling area,the authors present the applying process of this technique in mineral prospecting in vegetated terrain. The practice and expecting results of this plan would be helpful for the mineral prospecting in vegetated terrain.
出处 《世界地质》 CAS CSCD 2004年第4期402-406,410,共6页 World Geology
关键词 宽波段或高光谱 遥感 亚象元、低概率 目标探测 植被覆盖地区 wide band or high spectrum remote sensing subpixel and low probability object detection vegetated terrain
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  • 1Crosta A P,Moore J M. Enhanceent of landsat thematic mapper imagery for residual soil mapping in SW Minas Gerais State,Brazil: a prospecting case history in greenstone belt terrain [ C ]//Proceedings of 7th Thematic Conference: Remote Sensing for Explorat
  • 2Farrand W H, Harsanyi J C. Mapping distributed geological and botanical targets through constrained energy minimization [C]//Proceedings of the 10th Thematic Conference on Geological Remote Sensing, San Antonio. 1994:I419-I429.
  • 3Farrand W H, Harsanyi J C. Mapping the distribution of mine tailings in the Coeur D'Alene River Valley, Idaho,through the use of a constrained energy minimization technique [J]. Remote Sensing Environment, 1997, 59: 64-76.
  • 4Chang Chen in-i, Zhao X L, Mark L G, et al. Least squares subspace projection approach to mixed pixel classification for hyperspectral images [J]. IEEE Transaction on Geoscience and Remote Sensing, 1998,36 (3): 898-912.
  • 5Chang Chein-i, Hsuan R. An experiment-based quantitative and comparative analysis of target detection and image classification algorithms for hyperspectral imagery [J]. IEEE Transaction on Geoscience and Remote Sensing, 2000, 38 (2): 1044-1063.
  • 6Tu Te-ming, Chen Chin-hsing, Chang Chein-i. A posteriori least squares orthogonal subspace projection approach to desired signature extraction and detection [J]. IEEE Transactions on Geoscience and Remote Sensing, 1997,35: 127-139.
  • 7Tu Te-ming, Chen Chin-hsing, Chang Chein-i. A noise subspace projection approach to target signature detection and extraction in an unknown background for hyperspectral images [J]. IEEE Transactions on Geoscience and Remote Sensing, 1998,36 (1): 171-181.
  • 8Crosta A P, Rabeilo A. Assessing Landsat/TM for hydrothermal alteration mapping in central-western Brazil [C]//Proceedings of 9th Thematic Conference on Geologic Remote Sensing, Califonia, Pasadena. 1993: 1053-1061.
  • 9Tangestani M H, Moore F. Comparison of three principal component analysis techniques to porphyry copper alteration mapping: a case study, Meiduk area, Kerman, Iran [J]. Canadian Journal of Remote Sensing, 2001,27 (2):176-182.
  • 10Smith M, Roberts J, Hill M W, et al. A new approach to quantifying abundances of material in multispectral images [C]//Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS). 1994:2372-2374.

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