测绘学报
測繪學報
측회학보
ACTA GEODAETICA ET CARTOGRAPHICA SINICA
2015年
8期
877-883
,共7页
正射影像(DOM)%镶嵌线%视差图%贪婪蛇搜索算法
正射影像(DOM)%鑲嵌線%視差圖%貪婪蛇搜索算法
정사영상(DOM)%양감선%시차도%탐람사수색산법
digital orthophoto map(DOM)%seam line%disparity image%greedy snake algorithm
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。
提齣瞭一種基于正射影像視差圖的區域級鑲嵌線搜索算法。首先利用半全跼約束立體匹配算法(semi-global matching,SGM)分彆計算立體像對的左右視差圖,併通過自適應閾值化去除細小的譟聲區域,再經數學形態學方法進一步削弱譟聲影響和填補小的漏洞區域,得到瞭較為精細的房屋等非地麵區域的分割結果,從而分離齣地麵與非地麵區域；然後採用改進的貪婪蛇搜索算法進行鑲嵌線搜索,以提高算法的穩健性。試驗錶明,本文算法能很好地避開房屋等明顯突齣地錶的實體,得到不穿越非地麵區域的最優路徑。
제출료일충기우정사영상시차도적구역급양감선수색산법。수선이용반전국약속입체필배산법(semi-global matching,SGM)분별계산입체상대적좌우시차도,병통과자괄응역치화거제세소적조성구역,재경수학형태학방법진일보삭약조성영향화전보소적루동구역,득도료교위정세적방옥등비지면구역적분할결과,종이분리출지면여비지면구역；연후채용개진적탐람사수색산법진행양감선수색,이제고산법적은건성。시험표명,본문산법능흔호지피개방옥등명현돌출지표적실체,득도불천월비지면구역적최우로경。
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.
