该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
针对这一问题，本文提出一种基于分割窗的无监督多通道遥感图像变化检测方法。
In order to solve this problem, this paper proposes a split window-based method for unsupervised change detection in multichannel remotely sensed images.
遥感图像变化检测是分析同一地区不同时相的遥感图像，提取出其中感兴趣的变化信息。
Remote sensing image change detection is to analyze the same area of remote sensing images at different phases, which extract information of interest to change.
遥感图像变化检测技术是通过对比分析同一地域不同时相的遥感图像，获取观测对象变化信息的技术。
The remote sensing image change detection is a technique to acquire change information of observed objects through contrast and analysis of remote sensing images of the same region at different time.
先进的图像处理算法协助操作人员随时进行变化检测、图像分类、识别异常和跟踪活动模式。
Advanced image processing algorithms assist operators with change detection, image classification, identifying anomalies and tracking patterns of activity over time.
而对于高分辨率遥感图像的变化检测，面临的突出问题是对配准误差的敏感性和人工环境下地形的复杂性。
The most serious problems for change detection on high-resolution images are the sensitivity to registration and the complexity of terrain.
小波分析和傅立叶分析被广泛地应用于图像处理的各个领域，它们也能被应用于遥感影像土地利用变化检测。
Wavelet and Fourier analyses are widely used in various fields of image processing. They can be utilized in land use remote sensing dynamic monitoring to detect change information automatically.
提出一种基于自适应参数估计实现多时相遥感图像的变化检测算法。
An image change detection algorithm based on adaptive parameter estimation for multi-temporal remote sensing is proposed in this paper.
阴影是遥感影像的基本特征之一，它将干扰图像匹配、图象变化检测或图像中信息的提取，而去除阴影则是遥感图像处理的难题。
Shadow is one of the features in remote sensing image. It affects image matching, change detection or information extraction. But removing that is usually very hard in image processing.
提出了一种以证据理论综合利用图像多种特征的变化检测方法。
This paper presents an evidence theory based change detection method capable of utilizing multiple image features.
本文重点研究了如何利用图像的边缘结构信息和微分结构信息进行变化检测。
This paper focuses on how to develop change detection methods based on the edge structure information and differential structure information.
在遥感图像中，当变化区域的面积比例相对较大或较小时，一般的变化检测方法并不能准确地检测出变化信息。
When percentage of changed area in whole scene is relatively too small or too large, general change detection methods can not detect the change information accurately.
针对序列图像的变化检测，提出了一种基于强边缘块的时域多分辨率图像分割算法。
According to the detection of changes in image sequences, an algorithm of multi-resolution steps image partition based on strong edge blocks is proposed in this papers.
利用阴影差值图像消除纹理差值法变化检测结果中的阴影影响，取得了很好的实验效果。
A change detection method regarding shadow and projection difference is designed by integrating texture feature differences, automatic shadow extraction and projection difference handling.
本文对当前常用的变化检测技术进行了讨论，主要研究了图像差值变化检测方法。
This paper discusses widely-used change detection techniques and mainly studies image differencing method.
图像配准是图像融合、变化检测、目标识别等遥感应用中的重要步骤。
Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.
图像配准是图像融合、变化检测、目标识别等遥感应用中的重要步骤。
Image registration is an important step of image fusion, change detection and target recognition in remote-sensing applications.
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