發(fā)布時間：2018-08-07 21:39

【摘要】：地物特征不單靠空域中像元灰度值的變化程度來表現(xiàn),其頻譜能夠表征不同地物的特征,并可通過該頻譜特征進(jìn)行遙感圖像的分析和目標(biāo)的搜索、檢測。提出一種通過頻譜分析快速發(fā)現(xiàn)自然背景中人工目標(biāo)及其所在區(qū)域的新方法,首先對圖像的頻譜分布特征進(jìn)行了分析并提出了一種頻譜分布量化的算法,定義頻譜分布量化指數(shù);根據(jù)計(jì)算出的區(qū)域頻譜分布量化指數(shù),借鑒視覺顯著性的思想計(jì)算出各區(qū)域在整幅圖像中的顯著值,從而實(shí)現(xiàn)人工目標(biāo)的檢測。文中對該方法在海背景中艦船目標(biāo)的檢測和沙漠、戈壁中人工建筑的檢測進(jìn)行了實(shí)驗(yàn),從結(jié)果可以看出新算法能夠有效地實(shí)現(xiàn)自然背景潛在人工目標(biāo)的快速搜索和發(fā)現(xiàn),并確定出其所在區(qū)域,具有一定的靈活性,能夠適應(yīng)星上多變的檢測場景。
[Abstract]:The feature of ground object is not only represented by the change degree of pixel gray value in the spatial domain, but also can be represented by the spectrum of different features of the ground object, and it can be used to analyze the remote sensing image and search for the target through the spectrum feature. In this paper, a new method to quickly find artificial objects and their regions in natural background by spectrum analysis is proposed. Firstly, the spectrum distribution characteristics of images are analyzed and an algorithm for quantization of spectrum distribution is proposed. The quantization index of spectrum distribution is defined and the significant value of each region in the whole image is calculated according to the calculated quantization index of regional spectrum distribution using the idea of visual saliency so as to realize the detection of artificial target. In this paper, the detection of ship targets in sea background and desert, and the detection of artificial buildings in Gobi are tested. The results show that the new algorithm can effectively realize the fast search and discovery of potential artificial targets in natural background. The region is determined, which is flexible and can adapt to the changeable detection scene on the satellite.
【作者單位】： 北京空間飛行器總體設(shè)計(jì)部;北京航空航天大學(xué);
【基金】：國家自然科學(xué)基金資助項(xiàng)目(91438102)
【分類號】：TP751

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