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A Multitexture Model for Multilook Polarimetric Synthetic Aperture Radar Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
A statistical model for multilook polarimetric radar data is presented where the polarimetric channels are associated with individual texture variables having potentially different statistical
properties. The feasibility of producing closed form probability density functions under certain restrictions is outlined.
Mellin kind statistics are derived under various assumptions on the texture variables, ...
An Advanced Non-Gaussian Feature Space Method for POL-SAR Image Segmentation
(Conference object; Konferansebidrag, 2013)
This work extends upon our simple feature-based multichannel SAR segmentation method to incorporate highly desirable statistical properties into a computationally simple
approach. The desirable properties include Markov random field contextual smoothing and goodness-of-fit testing to automatically obtain the significant number of classes. To achieve this we need to find an explicit class model to ...
Comparison of feature based segmentation of full polarimetric SAR satellite sea ice images with manually drawn ice charts
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
In this paper we investigate the performance of
an algorithm for automatic segmentation of full polarimetric, synthetic aperture radar (SAR) sea ice scenes. The algorithm uses statistical and polarimetric properties of the backscattered radar signals to segment the SAR image into a specified number of classes. This number was determined in advance from visual inspection of the SAR image and by ...
A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
This paper proposes a novel unsupervised, non-Gaussian, and contextual segmentation method that combines an advanced statistical distribution with spatial contextual informa-tion for multilook polarimetric synthetic aperture radar (PolSAR)data. This extends on previous studies that have shown the added value of both non-Gaussian modeling and contextual smoothing individually or for intensity channels ...
A Simple and Extendable Segmentation Method for Multi-Polarisation SAR Images
(Conference object; Konferansebidrag, 2013)
This work presents a simple feature-based multi-channel
SAR segmentation method that produces good, smooth,
fast and robust results for image segmentation and interpretation.
A basic set of six features produce good class
distinction for general applications, and the method is
easily extendable with new features and for multi-source
data fusion. Optional steps of sub-sampling and Markov
Random ...
Correction and Characterization of Radio Frequency Interference Signatures in L-band Synthetic Aperture Radar Data
(Journal article; Tidsskriftartikkel; Peer reviewed, 2013)
Radio frequency interference (RFI) is a known issue in low-frequency radar remote sensing. In synthetic aperture radar (SAR) image processing, RFI can cause severe degradation of image quality, distortion of polarimetric signatures, and an increase of the SAR phase noise level. To address this issue, a processing system was developed that is capable of reliably detecting, characterizing, and mitigating ...