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Unbiased Seamless SAR Image Change Detection Based on Normalized Compression Distance

Coca, Mihai and Anghel, Andrei and Datcu, Mihai (2019) Unbiased Seamless SAR Image Change Detection Based on Normalized Compression Distance. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12 (7), pp. 2088-2096. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2019.2909143 ISSN 1939-1404

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/8723162

Abstract

Land cover changes may have very different nature, e.g., vegetation development, soil erosion, variation of humidity, or damage of buildings, only to enumerate few cases. In addition, synthetic aperture radar (SAR) observations are a doppelganger of the scene, imaging the scene signature rather than the scene itself. To overcome these challenges, SAR change detection methods generally adapt to the particular situations. We present seamless methods based on normalized compression distance (NCD) estimation. NCD is a similarity metric applied directly to the data, thus with no biases induced by feature estimators or classifiers. Since the diversity of changes is huge and extremely hard to derive typical classes, we introduce paradigm based both on an unsupervised and a supervised method. The change detection procedure mainly consists in dividing image dataset in patches, computing a collection of similarities for pairs of tiles formed differently in each case, and usage of this collection in unsupervised and supervised forms to generate a change map. Both the threshold based histogram, unsupervised method, and the k-NN classifier algorithm, supervised method, have a distinct flow to obtain the change map. To use the NCD operator according to our proposed methods, a speckle resistance test is involved. The experimental results for the two methodologies are computed using two TerraSAR-X images over Sendai and surrounding areas, Japan.

Item URL in elib:https://elib.dlr.de/130527/
Document Type:Article
Title:Unbiased Seamless SAR Image Change Detection Based on Normalized Compression Distance
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Coca, MihaiMilitary Technical Academy, RomaniaUNSPECIFIED
Anghel, AndreiUniversity Politehnica BucharestUNSPECIFIED
Datcu, MihaiMihai.Datcu (at) dlr.deUNSPECIFIED
Date:July 2019
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.1109/JSTARS.2019.2909143
Page Range:pp. 2088-2096
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Change detection (CD), classification, normalized compression distance (NCD), synthetic aperture radar (SAR)image
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Karmakar, Chandrabali
Deposited On:04 Dec 2019 15:11
Last Modified:04 Dec 2019 15:11

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