摘要
针对中、高分辨率(0.6m-5m)可见光卫星遥感图像,提出了一种基于极小误差分割的海上舰船自动检测算法,该方法利用自适应定向正交投影的高斯分解法,拟合海洋区域直方图,采用改进的信息熵极小误差分割算法,确定分割阈值。对于候选舰船目标采用基于多判据的目标检测思想检测舰船,对100多幅可见光图像进行了试验。结果表明,该方法能够自动、快速、准确地检测图像中的舰船,具有较高的检测能力。
Optical remote sense images have become more and more useful in our life. Focusing on the medium or high resolution optical remote sense images, this paper presents a method based on minimum error threshold for detecting ship targets from coastal regions. In this method, an adaptive oriented orthogonal projective decomposition method is used to get a more accuracy approximation of the histogram, and the candidate ship targets can be detected by an improved minimum error threshold algorithm based on the shannon information entropy function. A multi-criteria target detection idea is used to detect ship exactly. The method is applied in detecting more than one hundred optical remote sense images and proved to be fast, exact and robust.
出处
《计算机工程》
CAS
CSCD
北大核心
2007年第11期239-241,269,共4页
Computer Engineering
基金
国家"863"计划基金资助项目(2004AA783052)
关键词
舰船检测
投影分懈
最小误差阈值分割
多判据目标检测
Ship detection
Projective decomposition
Minimum error threshold
Multi-criteria target detection
