CAJ | 학술논문

利用卫星遥感技术对大中型桥梁进行识别定位,在民用上和军事上都具有很重要的意义.本研究提出了一套利用基元对象关系特征提取高分辨率卫星影像中水上桥梁的技术方法.首先利用多尺度分割算法对高分辨率卫星影像进行分割,利用水体指数或GLCM 同质性纹理特征区分河水和陆地;其次,利用对象形状特征和相邻的关系特征提取桥梁潜在区;将河流片段和桥梁潜在区专题二值化,利用数学形态学算子实现河流水面的连续化;最后利用叠加分析的方法获得最终的桥梁目标.本方法充分利用了桥梁与河流相邻和相交的空间关系特征,利用QuickBird和IKONOS高分辨率卫星影像进行实验,证明所提出的方法可以高精度的实现大中型水上桥梁的识别定位.
이용위성요감기술대대중형교량진행식별정위,재민용상화군사상도구유흔중요적의의.본연구제출료일투이용기원대상관계특정제취고분변솔위성영상중수상교량적기술방법.수선이용다척도분할산법대고분변솔위성영상진행분할,이용수체지수혹GLCM 동질성문리특정구분하수화륙지;기차,이용대상형상특정화상린적관계특정제취교량잠재구;장하류편단화교량잠재구전제이치화,이용수학형태학산자실현하류수면적련속화;최후이용첩가분석적방법획득최종적교량목표.본방법충분이용료교량여하류상린화상교적공간관계특정,이용QuickBird화IKONOS고분변솔위성영상진행실험,증명소제출적방법가이고정도적실현대중형수상교량적식별정위.
Compared to remote sensing images of medium or low spatial resolution,high-resolution remote sensing images can provide observation data containing more detailed information for georesearch.Accordingly,an important issue for current computer and geoscience experts is to develop useful methods or technology to extract information from these high-resolution satellite images.As part of series of research into object extraction,this paper focuses mainly on the extraction of bridges over water from high-resolution satellite images.Since bridges over water is the characteristic of obviously adjacent and intersect to water in remote sensing images,this paper proposes a practical bridge extraction method based on related feature between bridges and water from remote sensing images of high spatial resolution.The steps involved are: knowledge rule based water extraction by normalized difference water index(NDWI)or Grey Level Concurrence Matrix(GLCM)homogeneity texture feature calculated from segment unit in a larger scale;the underlying region including bridges extraction by combining multi-scale object feature ,especially class related feature.River water is jointed by Mathematical Morphology.Finally,the bridges are acquired by overlaying jointed river binary image and underlying region including bridges.Two tests are described based on IKONOS merge image with a 1m resolution and QuickBird multispectral image with a 2.44m respectively.The experimental results show that the proposed method is very suitable to extraction of bridges over water from high spatial resolution remote sensing images.