本文選題：遙感影像 + 河中島　； 參考：《遙感學(xué)報(bào)》2017年03期

【摘要】：相比于正交T-Snake算法,傳統(tǒng)Balloon Snake算法不受格網(wǎng)約束,能夠更加精確提取高分辨率遙感影像上水體,然而尚不能解決河中島引起的拓?fù)錄_突問題。由此,本文提出了一種改進(jìn)Balloon Snake算法(T-Balloon Snake),設(shè)計(jì)了目標(biāo)內(nèi)部由于空洞引起的拓?fù)錄_突檢測(cè)與處理機(jī)制。算法首先在目標(biāo)水體內(nèi)部手動(dòng)設(shè)置一個(gè)初始輪廓,在曲線每次膨脹前對(duì)曲線進(jìn)行自相交檢測(cè),若存在拓?fù)錄_突則對(duì)曲線進(jìn)行分裂與合并處理,最終直至迭代停止。實(shí)驗(yàn)選取了三類湖泊與河流高分影像,實(shí)現(xiàn)了復(fù)雜遙感影像水體矢量邊界的一次性精確提取。實(shí)驗(yàn)結(jié)果表明,該方法可直接有效提取水體中深凹以及島狀邊界,在提取結(jié)果正確性和完整性上都優(yōu)于傳統(tǒng)Balloon Snake算法。
[Abstract]:Compared with orthogonal T-Snake algorithm, the traditional Balloon snake algorithm is not constrained by grid and can extract water body from high resolution remote sensing image more accurately. However, it can not solve the topological conflict caused by the island in river. Therefore, an improved Balloon snake algorithm, T-Balloon Snakeon, is proposed in this paper, and a mechanism for detecting and handling topological conflicts caused by holes in the target is designed. The algorithm first manually sets an initial contour in the target water body, detects the curve self-intersection before each expansion of the curve, splits and merges the curve if there is a topological conflict, and finally stops the iteration. Three kinds of high score images of lakes and rivers are selected in the experiment, and the complex remote sensing images of water body vector boundary are extracted accurately at one time. The experimental results show that this method can directly and effectively extract the deep concave and island boundary in water, and is superior to the traditional Balloon snake algorithm in the correctness and integrity of the extraction results.
【作者單位】： 武漢大學(xué)測(cè)繪遙感信息工程國(guó)家重點(diǎn)實(shí)驗(yàn)室;武漢大學(xué)地球空間信息技術(shù)協(xié)同創(chuàng)新中心;
【基金】：裝備預(yù)研教育部聯(lián)合基金(編號(hào):6141A02022318) 湖北省自然科學(xué)基金創(chuàng)新群體(編號(hào):2016CFA003)~~
【分類號(hào)】：TP751

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本文編號(hào)：2045396