正射影像镶嵌线自动搜索的视差图算法
提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法（semi-global matching，SGM）分别计算立体像对的左右视差图，并通过自适应阈值化去除细小的噪声区域，再经数学形态学方法进一步削弱噪声影响和填补小的漏洞区域，得到了较为精细的房屋等非地面区域的分割结果，从而分离出地面与非地面区域；然后采用改进的贪婪蛇搜索算法进行镶嵌线搜索，以提高算法的稳健性。试验表明，本文算法能很好地避开房屋等明显突出地表的实体，得到不穿越非地面区域的最优路径。...
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| Published in | Ce hui xue bao Vol. 44; no. 8; pp. 877 - 883 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese English |
| Published |
Beijing
Surveying and Mapping Press
01.09.2015
地球空间信息技术协同创新中心，湖北 武汉430079%武汉大学遥感信息工程学院,湖北 武汉,430079%武汉大学资源与环境科学学院,湖北 武汉,430079 武汉大学遥感信息工程学院，湖北 武汉 430079 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-1595 1001-1595 |
| DOI | 10.11947/j.AGCS.2015.20140421 |
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| Abstract | 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法（semi-global matching，SGM）分别计算立体像对的左右视差图，并通过自适应阈值化去除细小的噪声区域，再经数学形态学方法进一步削弱噪声影响和填补小的漏洞区域，得到了较为精细的房屋等非地面区域的分割结果，从而分离出地面与非地面区域；然后采用改进的贪婪蛇搜索算法进行镶嵌线搜索，以提高算法的稳健性。试验表明，本文算法能很好地避开房屋等明显突出地表的实体，得到不穿越非地面区域的最优路径。 |
|---|---|
| AbstractList | 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法(semi-global matching,SGM)分别计算立体像对的左右视差图,并通过自适应阈值化去除细小的噪声区域,再经数学形态学方法进一步削弱噪声影响和填补小的漏洞区域,得到了较为精细的房屋等非地面区域的分割结果,从而分离出地面与非地面区域;然后采用改进的贪婪蛇搜索算法进行镶嵌线搜索,以提高算法的稳健性。试验表明,本文算法能很好地避开房屋等明显突出地表的实体,得到不穿越非地面区域的最优路径。 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法（semi-global matching，SGM）分别计算立体像对的左右视差图，并通过自适应阈值化去除细小的噪声区域，再经数学形态学方法进一步削弱噪声影响和填补小的漏洞区域，得到了较为精细的房屋等非地面区域的分割结果，从而分离出地面与非地面区域；然后采用改进的贪婪蛇搜索算法进行镶嵌线搜索，以提高算法的稳健性。试验表明，本文算法能很好地避开房屋等明显突出地表的实体，得到不穿越非地面区域的最优路径。 P236; 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法(semi-global matching,SGM)分别计算立体像对的左右视差图,并通过自适应阈值化去除细小的噪声区域,再经数学形态学方法进一步削弱噪声影响和填补小的漏洞区域,得到了较为精细的房屋等非地面区域的分割结果,从而分离出地面与非地面区域；然后采用改进的贪婪蛇搜索算法进行镶嵌线搜索,以提高算法的稳健性。试验表明,本文算法能很好地避开房屋等明显突出地表的实体,得到不穿越非地面区域的最优路径。 |
| Abstract_FL | This paper proposes a regional seam line detection algorithm based on the disparity image of the orthophoto.Firstly,the disparity images of the stereo pair are generated by using the SGM(semi-global matching)method, and the small noises are removed through the adaptive threshold.Then, the mathematical morphology method is used to further eliminate the noises and to fill the small holes on the disparity image in order to accurately separate out the non-ground area.Lastly,the seam line is detected using the improved greedy snake algorithm which with better robustness.The experimental result has shown that our method is effective and is able to acquire an optimized seam line that passed around the entities above the ground. |
| Author | 袁修孝 段梦梦 曹金山 |
| AuthorAffiliation | 武汉大学遥感信息工程学院,湖北武汉430079 地球空间信息技术协同创新中心,湖北武汉430079 武汉大学资源与环境科学学院,湖北武汉430079 |
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| Author_FL | CAO Jinshan DUAN Mengmeng YUAN Xiuxiao |
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| Copyright | Sep 2015. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
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| Keywords | seam line 贪婪蛇搜索算法 greedy snake algorithm 镶嵌线 视差图 disparity image digital orthophoto map(DOM) 正射影像(DOM) |
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| Notes | 11-2089/P This paper proposes a regional seam line detection algorithm based on the disparity image of the orthophoto. Firstly, the disparity images of the stereo pair are generated by using the SGM （semi-global matching） method, and the small noises are removed through the adaptive threshold. Then, the mathematical morphology method is used to further eliminate the noises and to fill the small holes on the disparity image in order to accurately separate out the non-ground area. Lastly, the seam line is detected using the improved greedy snake algorithm which with better robustness. The experimental result has shown that our method is effective and is able to acquire an optimized seam line that passed around the entities above the ground. digital orthophoto map（DOM）; seam line; disparity image; greedy snake algorithm YUAN Xiuxiao ,DUAN Mengmeng ,CAO Jinshan （1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China; 2. Collaborative Innovation Center of Geospatial Technology, ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
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| Snippet | 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法（semi-global matching，SGM）分别计算立体像对的左右视差图，并通过自适应阈值化... 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法(semi-global matching,SGM)分别计算立体像对的左右视差图,并通过自适应阈值化去除... P236; 提出了一种基于正射影像视差图的区域级镶嵌线搜索算法。首先利用半全局约束立体匹配算法(semi-global matching,SGM)分别计算立体像对的左右视差图,并通过自适应阈值... |
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| SubjectTerms | Algorithms Greedy algorithms Matching Mathematical morphology Orthophotography Robustness (mathematics) Seams 正射影像（DOM） 视差图 贪婪蛇搜索算法 镶嵌线 |
| Title | 正射影像镶嵌线自动搜索的视差图算法 |
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