USING COVARIANCE MATRIX FOR CHANGE DETECTION OF POLARIMETRIC SAR DATA
نویسندگان
چکیده
منابع مشابه
Unsupervised segmentation of polarimetric SAR data using the covariance matrix
This paper presents a method for unsupervised segmentation of polarimetric synthetic aperture radar (SAR) data into classes of homogeneous microwave polarimetric backscatter characteristics. Classes of polarimetric backscatter are selected based on a multidimensional fuzzy clustering of the logarithm of the parameters composing the polarimetric covariance matrix. The clustering procedure uses b...
متن کاملUsing the Fourth Eigenvalue of the Covariance Matrix for Assessing the Quality of Polarimetric SAR Data
Abstract—In this paper we show that the eigen-decomposition of the covariance matrix can be used to assess the quality of polarimetric SAR data. The fourth eigenvalue, λ4, is a measure for the noise in the image, independent of image calibration. Misregistration of the two cross-polarization channels leads to image content appearing in the λ4 image and is easily detectable. No sensitivity to cr...
متن کاملa test statistic based on wishart distribution for unsupervised change detection in multilook polarimetric sar data
in this paper, an unsupervised method for change detection in the multitemporal multipolarization synthetic aperture radar (sar) imagery is proposed. a matrix distance measure, named symmetric revised wishart is used as a test statistic in order to assess the similarity of two multitemporal multilook polarimetric sar data and a variance-based thresholding algorithm is applied to the test statis...
متن کاملThe Extended Sub-look Analysis In Polarimetric SAR Data For Ship Detection
The monitoring of maritime areas with remote sensing is essential for security reasons and also for the conservation of environment. The synthetic aperture radar (SAR) can play an important role in this matter by considering the possibility of acquiring high-resolution images at nighttime and under cloud cover. Recently, the new approaches based on the sub-look analysis for preserving the infor...
متن کاملAdaptive Decomposition of Polarimetric Sar Covariance Matrices
One of the most complex problems in polarimetric radar imaging is how to interpret the measured covariance matrix in terms of known scattering mechanisms. Two main approaches are commonly used for this purpose. The first, introduced by Cloude [1] involves calculating the eigenvectors of the measured covariance matrix. This method provides a unique result. However, as shown by van Zyl [2], when ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2017
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-4-w4-69-2017