首页> 外文会议>IEEE International Geoscience and Remote Sensing Symposium >DETECTION OF QUASI-CIRCULAR VEGETATION COMMUNITY PATCHES USING CIRCULAR HOUGH TRANSFORM BASED ON ZY-3 SATELLITE IMAGE IN THE YELLOW RIVER DELTA, CHINA
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DETECTION OF QUASI-CIRCULAR VEGETATION COMMUNITY PATCHES USING CIRCULAR HOUGH TRANSFORM BASED ON ZY-3 SATELLITE IMAGE IN THE YELLOW RIVER DELTA, CHINA

机译:基于ZY-3卫星图像在黄河三角洲,中国圆形植被群落的检测

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Recently some types of quasi-circular patchy vegetations have been found and proved by high spatial resolution satellite remote sensing images and field investigations in the Yellow River Delta. In order to facilitate the monitoring of vegetation extension and quantify the mechanism of vegetation patch succession, there is a clear need for accurate and economical of detecting the vegetation patches. The main objective of this paper is to detect the quasi-circular vegetation patches from ZY-3 satellite image using Circular Hough Transform (CHT) method. The results show that the quasi-circular vegetation patches could be detected well using ZY-3 panchromatic image (The detection accuracy of the quasi-circular vegetation patches was 64.1%) but some constraint had been exposed.
机译:最近,已经发现了某些类型的准圆形斑块植被,并通过高空间分辨率遥感图像和黄河三角洲的田间调查证明。为了便于监测植被延伸并量化植被补丁连续的机制,可以清楚地需要检测植被斑块的准确和经济。本文的主要目的是使用圆形霍夫变换(CHT)方法检测从ZY-3卫星图像的准圆形植被斑块。结果表明,可以使用ZY-3全景图像(准圆形植被斑块的检测精度为64.1%)来检测拟圆形植被贴片,但是暴露了一些约束。

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