摘要
给出了一种针对A STER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A STER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信息的可能和依据,对立体视觉技术在林业上立体景观模型的搭建,特别是主要树种分布的概况,进行了理论和方法初步探讨。实验结果证明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。
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.
出处
《遥感技术与应用》
CSCD
2006年第4期307-311,共5页
Remote Sensing Technology and Application
关键词
高光谱数据
图像融合
树种识别
立体匹配
ASTER high-spectrum data image fusion, Stereoscopic vision, Recognizing species of trees