【摘要】：陰影在光學(xué)遙感影像中普遍存在,會對后續(xù)一系列圖像信息提取等過程產(chǎn)生影響.在南極地區(qū),由于其特殊的地理位置和環(huán)境,光學(xué)遙感影像中存在的陰影不可忽視.本研究在已有的陰影檢測方法的基礎(chǔ)上,根據(jù)Landsat8衛(wèi)星數(shù)據(jù)的特點構(gòu)建了一個新的陰影檢測方法:首先對所有數(shù)據(jù)進行反射率轉(zhuǎn)換處理,利用南極地區(qū)成像時的陰影在各波段的反射率特征,選取第1波段Coastal/Aerosol(0.43~0.45μm)和第5波段NIR(0.85~0.88μm)建立了能夠有效識別陰影的陰影檢測指數(shù)R_(51),并選取不同地物的訓(xùn)練樣本進行統(tǒng)計分析,根據(jù)閾值提取法提取陰影為二值化圖像,并從影像中剔除少量易與陰影混淆的冰面融池.通過選取南極不同地區(qū)的影像進行精度評價,發(fā)現(xiàn)該方法針對Landsat8數(shù)據(jù)在南極地區(qū)的陰影檢測具有較高的提取精度和較好的普適性.本文利用陰影檢測方法對收集的覆蓋南極地區(qū)的1 127景Landsat8影像進行陰影提取與統(tǒng)計、分布特征分析,最終提取陰影面積約15 000km~2,主要分布于裸巖山體集中區(qū)和大型冰川所在地.
[Abstract]:Shadow is widely used in optical remote sensing images, which will affect a series of subsequent image information extraction process. In the Antarctic region, because of its special geographical location and environment, the shadow in optical remote sensing image can not be ignored. Based on the existing shadow detection methods, a new shadow detection method is constructed according to the characteristics of Landsat8 satellite data. Based on the reflectivity characteristics of shadows in the Antarctic region, the shadow detection index R _ (51), which can effectively identify shadows, is established by selecting the first band Coastal/Aerosol (0.430.45 渭 m) and the 5th band NIR (0.85 0.88 渭 m). The training samples of different ground objects were selected for statistical analysis, and the shadow binary image was extracted according to the threshold extraction method, and a small amount of ice melt pool which was easily confused with shadow was removed from the image. It is found that this method has higher extraction accuracy and better universality for shadow detection of Landsat8 data in Antarctic region by selecting images from different regions of Antarctica for accuracy evaluation. In this paper, the shadow detection method is used to extract and calculate the shadow of 1 127 Landsat8 images covering the Antarctic region, and the distribution characteristics are analyzed. Finally, the shadow area is about 15 000 km / m ~ 2, which is mainly distributed in the bare rock mountain concentration area and the location of large glacier.
【作者單位】： 北京師范大學(xué)全球變化與地球系統(tǒng)科學(xué)研究院北京師范大學(xué)極地研究中心;
【基金】：國家重點基礎(chǔ)研究發(fā)展計劃資助項目(2012CB957704)
【分類號】：P237

【相似文獻】

相關(guān)期刊論文 前3條

1 周家香;朱建軍;張紅亞;;基于C1C2C3彩色不變特征的陰影檢測與輻射恢復(fù)研究[J];工程勘察;2007年06期

2 虢建宏,田慶久;一種IKONOS影像陰影檢測與去除的方法[J];遙感信息;2004年04期

3 ;[J];;年期

相關(guān)碩士學(xué)位論文 前1條

1 王軍利;基于彩色航空影像的陰影檢測算法研究[D];武漢大學(xué);2005年

，

本文編號：2346008