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首页> 外文会议>International Society for Photogrammetry and Remote Sensing Congress >IMAGE CLASSIFICATION FROM LANDSAT TM, AIRBORNE MAGNETICS AND DEM DATA FOR MAPPING PALEOPROTEROZOIC BEDROCK UNITS, BAFFIN ISLAND, NUNAVUT, CANADA
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IMAGE CLASSIFICATION FROM LANDSAT TM, AIRBORNE MAGNETICS AND DEM DATA FOR MAPPING PALEOPROTEROZOIC BEDROCK UNITS, BAFFIN ISLAND, NUNAVUT, CANADA

机译：来自Landsat TM，机载磁性和DEM数据的图像分类，用于绘制古邦古代基岩单位，Baffin Island，Nunavut，加拿大

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A novel approach in image classification to bedrock mapping is applied to a 1:100 000 scale map area of the Meta Incognita Peninsula Baffin Island, Nunavut, Canada to support mapping of the Paleoproterozoic basement and cover boundary. The classification algorithm was trained by input from ground traversed bedrock geology, and applied to 7 TM bands, airborne magnetics and digital elevation data (CDED). We report the results of this investigation, with an emphasis on the comparison of interpretive bedrock mapping of the off-traverse areas. Focusing the training and the classification on the most exposed areas, by masking out overburden, vegetation and hydrographic features allows more specific targeting of bedrock exposures in the field. This approach supports remote geological mapping in similar geologic terrains were expense, access and inclement weather place severe constraints on the efficiency of traditional surveying. This research is a development contribution to enhance the ongoing natural resources management of Nunavut through partnership with the Geological Survey of Canada and its various geological mapping programs.
机译：在Gedrock Mapping中的图像分类中的一种新方法应用于Meta Incognita Peninsula Baffin Island，Nunavut，Nunavut，Nunavut，支持古普罗佐奇地下室和覆盖边界的映射。分类算法通过从地面穿过基岩地质的输入训练，并应用于7 TM频段，空机磁性和数字高度数据（CDED）。我们报告了这项调查的结果，重点是脱遍区域解释性基岩映射的比较。通过掩盖覆盖层，植被和水文特征来将培训和分类集中在最暴露的区域上，植被和水文特征允许更具体地瞄准该领域的基岩暴露。这种方法支持类似地质地形的远程地质映射是费用，访问和恶劣气象对传统测量效率的严重限制。本研究是通过与加拿大地质调查的伙伴关系及其各种地质映射计划，加强努纳瓦特的持续自然资源管理的发展贡献。

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