• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2008, Vol. 30 ›› Issue (12): 43-44.

• 论文 • 上一篇    下一篇

一种基于灰度直方图的遥感影像阴影自动检测方法

于东方 殷建平 张国敏   

  • 出版日期:2008-12-01 发布日期:2010-05-19

  • Online:2008-12-01 Published:2010-05-19

摘要:

在高分辨率全色遥感影像中,阴影的存在既给目标识别带来了困难,又包含了地物的层次和高度信息。本文运用灰度统计直方图的势函数对全色遥感影像的灰度统计直方图函 数进行拟合,使用一阶差分找到直方图势函数的第一个谷点,以该谷点对应的灰度值对原始影像做阈值分割完成阴影检测。实验表明,在各种复杂地物环境下,本文方法都能 能完成灰度分割阚值的自动选取,其阴影检测结果是快速有效的。

关键词: 遥感影像 阴影检测 直方图 势函数 图像分割

Abstract:

Shadow brings difficulties to object recognition in the high-resolution panchromatic remote sensing images. On the other hand, it contains much inform ation about the hierarchy and height of the objects on the ground. We fit the gray histogram of the panchromatic remote sensing image by its potential f  unction, and find the first vale point by the first difference. Shadow detection is then performed by threshold segmentation using the gray value which  corresponds to the vale point. The experimental results show that this method is capable of selecting the segmentation threshold rapidly and auto- matic  ally in complex images,and the shadows are detected correctly.

Key words: remote sensing, shadow detection, histogram, potential function, image segmentation