聯(lián)合星載vhr光學(xué)與sar圖像的城市大面積建筑物高度快速提取

1、 專業(yè)學(xué)位碩士研究生學(xué)位論文 新 疆 大 學(xué) 論文題目 論文題目(中文 中文)：聯(lián)合星載 聯(lián)合星載 VHR VHR 光學(xué)與 光學(xué)與 SAR SAR 圖像的城市大面積 圖像的城市大面積 建筑物高度快速提取 建筑物高度快速提取 論文題目 論文題目(外文 外文)：Fusion of Fusion of Spaceborne VHR Optical and Spaceborne VHR Optical and SAR SAR Images

2、 Images for Building Height Quick for Building Height Quick Extraction in Big Extraction in Big Urban Areas Urban Areas 研究生姓名：田峰 研究生姓名：田峰 學(xué) 位 類 別：工學(xué)碩士 別：工學(xué)碩士 專 業(yè) 名 稱：環(huán)境工程 稱：環(huán)境工程 導(dǎo)師姓名職稱： 導(dǎo)師姓名職稱：黃新利 黃新利 高級工程師 高級工程師、孜比布拉

3、孜比布拉?司馬義 司馬義 教授 教授 論文答辯日期 2017 年 5 月 27 日 學(xué)位授予日期 2017 年 月 日 聯(lián)合星載 VHR 光學(xué)與 SAR 圖像的城市大面積建筑物高度快速提取 II Abstract City is an important area of remote sensing monitoring. Buildings, the essential part of urban area, whose dis

4、tribution and development are the research focus recently. The height of buildings, an important index of the urban longitudinal development, which is the similar important content of urban remote sensing monitoring. Cur

5、rently, high resolution optical image and synthetic aperture radar image are extensively applied to extract the building height. This two kinds of RS system whose image itself and the method of extraction all have their

6、own advantage in the process of application. However, because of some special factor, there are always some defects. For instance, when use the optical image for the height extraction, which mainly based on the shadow ex

7、traction and the imaging geometric relation. But the satellite parameter of some high resolution image cannot be acquired and make the use of method difficult. For the SAR image application, whose main problem are the im

8、perfection of image feature and the low extraction efficiency. In view of the existing defects of the two kinds of image, in this paper, we investigated the joint use of the spaceborne high-resolution optical images and

9、SAR images to extract building height information quickly in big urban areas. This approach, which make up the flaws for each other, give consideration to the accuracy and efficiency. The main research contents are as fo

10、llows: （1）In the aspect of building shadow from the high resolution optical image, in this paper, we used a method which combined the supervised classification with unsupervised classification. The joint use of support v

11、ector machine and morphological shadow index can eliminate the need for amounts of process which to determinate the feature threshold. The method not only improve the efficiency, but also meet the accuracy requirements.

12、The shadow length is automatically calculated and recorded after the shadow is acquired. （2）In the aspect of building height extraction, we extract the building height from high resolution SAR image by using of model mat

13、ching technique. Before that, we research the imaging mechanism and image feature of buildings. First of all, we establish the geometry model by analyzing the building image feature. Then, the matching function between t