This paper presents an algorithm about SAR image change detection based on Principal Component Analysis (PCA).
该文提出一种基于主分量分析(pca)的SAR图像变化检测算法。
An image change detection algorithm based on adaptive parameter estimation for multi-temporal remote sensing is proposed in this paper.
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。
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。
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.
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。
Advanced image processing algorithms assist operators with change detection, image classification, identifying anomalies and tracking patterns of activity over 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。
Unless you have the original image, noting the change between the new and original images is a difficult task (although software is available to help with this detection process).
除非您有原图片，否则要发现新图片与原图片之间的变化是一项非常艰难的任务(尽管有软件可以帮助侦测到这种变化)。
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.
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。
This paper discusses widely-used change detection techniques and mainly studies image differencing method.
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。
Change detection, mapping parameter estimation, moving objects and background detection are used to implement image motion segmentation.
通过变化检测，映射参数估算，运动区域和背景检测来实现运动分割。
This paper presents an evidence theory based change detection method capable of utilizing multiple image features.
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。
An improved algorithm for corner detection is based on the property of corners that the change of image intensity should be high in all direction.
提出了一种改进的角点提取算法，该算法是基于角点的性质，即在角点的某个邻域内，图像灰度的变化在任意一条通过该点的直线上都很大。
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。
Relative radiometric normalization of multi-temporal satellite images is the necessary process in change detection or image mosaic.
多时相遥感影像的相对辐射归一化是进行变化检测或拼接不可缺少的步骤。
This paper proposes an improved corner detection algorithm, based on the property of corners that the change of image intensity must be high in all directions.
提出了一种改进的角点提取算法。该算法是基于角点的性质，即在角点的某个邻域内，图像灰度变化在任意一条通过该点的直线上都很大。
This paper proposes an improved corner detection algorithm, based on the property of corners that the change of image intensity must be high in all directions.
提出了一种改进的角点提取算法。该算法是基于角点的性质，即在角点的某个邻域内，图像灰度变化在任意一条通过该点的直线上都很大。
应用推荐