Change vector analysis (CVA) is a robust approach for detecting and characterizing radiometric change in multispectral remote sensing data sets. CVA is reviewed as a useful technique to: (1) process the full dimensionality of multispectral/multi-layer data so as to ensure detection of all change ...
Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the direction component using multiband data...
**CVA(Change Vector Analysis)** CVA是变化向量分析,它通过计算两期影像像素值之间的差异向量来识别变化。CVA的结果直观易懂,但可能受到噪声和系统误差的影响。为提高CVA的效果,通常需要进行预处理,如归一化或大气校正。 **PCA(Principal Component Analysis)** PCA是主成分分析,常用于降低遥感影像的维数并提取主要...
Change vector analysis (CVA) [1] is a most commonly used method, which can provide change intensity and change direction. Slow Feature Analysis (SFA) http://sigma.whu.edu.cn/resource.php Multivariate Alteration Detection (MAD) MAD is a change detection algorithm based on canonical correlation ...
Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the direction component using multiband data...
Firstly, the wavelet transform is performed on the difference image achieved by the change vector analysis (CVA) method, and the wavelet coefficients at each scale are obtained. Then, MRF model is constructed based on the wavelet coefficients. The wavelet high-frequency coefficients establish a ...
This paper addresses unsupervised change detection by proposing a proper framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique. This framework, which is based on the representation of the CVA in polar coordinates, aims at: 1) introducing a set of...
In this paper a framework for a formal definition and a theoretical study of the change vector analysis (CVA) technique is proposed. This framework, which is based on the representation of the CVA in polar coordinates, aims at: (i) introducing formal definitions in the polar domain for a be...
Algebra-based methods, including image differing methods (Quarmby and Cushnie, 1989, Zhu et al., 2017), image rationing methods(Howarth and Wickware, 1981), and change vector analysis (CVA) (Liu et al., 2015), often extract changing information by algebraic operations on the corresponding area...
In this paper, an approach to reducing the effects of registration noise in unsupervised change detection is proposed. The approach is formulated in the framework of the change vector analysis (CVA) technique. It is composed of two main phases. The first phase aims at estimating in an adaptive...