ASTER遥感数据提取三维森林资源景观模型的研究
首发时间:2006-07-10
摘要:本文给出了一种针对ASTER数据,在提取森林资源三维分布方面的技术方法。该方法探讨了ASTER数据的解读,立体像对的提取、视差影像的生成模型和相对数字高程模型(DEM)的生成、最后三维立体景观模型的恢复。分析探讨从14个波段中合成不同光谱分辨率数据以准确识别主要树种分布信息的可能和依据,从而为立体视觉技术在林业上识别主要树种分布立体景观模型的搭建,特别是识别主要树种沿高程分布的概况进行了理论和方法初步探讨。实验结果证明了使用该技术路线能有效地搭建研究区域的三维立体景观模型。
关键词: 高光谱数据 图像融合 树种识别 立体匹配
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Application of ASTER Data on Extracting Elevations from ASTER Stereo-pairs And Recognizing Species of Trees
Abstract:In this paper summarizes the application of ASTER data. Especially, to the forestry management, the paper describes the way how to extract image data form ASTER HDF file data by programming. The reasons and the key methods are also demonstrated. The study also cites how to recognize the main species of trees from multi-spectral image data by fusion. In order to produce high density parallax image from ASTER stereo-pairs at band 3N&3B, the method also has been provided in this study. Stereoscopic vision technology is used forming stereo-forestry, particularly in recognizing main species of trees along DEM.
Keywords: ASTER High-spectrum data Image fusion Stereoscopic vision Recognizing species of trees;
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No.7521730791152518****
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