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Normalized Compression Distance for SAR Image Change Detection

Coca, Mihai and Anghel, Andrei and Datcu, Mihai (2018) Normalized Compression Distance for SAR Image Change Detection. In: 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pp. 1-4. IGARSS 2018, 22.-27. July 2018, Valencia, Spain. DOI: 10.1109/IGARSS.2018.8518126

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Official URL: https://ieeexplore.ieee.org/document/8518126

Abstract

With a continuous increase in multi-temporal synthetic aperture radar (SAR) images, leading to enable mapping applications for Earth environmental observation, the number of algorithms for detection of different types of terrain changes has greatly expanded. In this paper, a SAR image change detection method based on normalized compression distance (NCD) is proposed. The procedure mainly consists in dividing two time series images in patches, computing a collection of similarities corresponding to each pair of patches and generating the change map with a histogram-based threshold. The experimental results were computed using 2 Sentinel 1A images over the city of Bucharest, Romania and 2 TerraSAR-X images over the Elbe River and its surrounding area, Germany.

Item URL in elib:https://elib.dlr.de/123433/
Document Type:Conference or Workshop Item (Speech)
Title:Normalized Compression Distance for SAR Image Change Detection
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 2018
Journal or Publication Title:2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2018.8518126
Page Range:pp. 1-4
Status:Published
Keywords:Normalized compression distance, TerraSAR-X, Sentinel-1
Event Title:IGARSS 2018
Event Location:Valencia, Spain
Event Type:international Conference
Event Dates:22.-27. July 2018
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: Dumitru, Corneliu Octavian
Deposited On:28 Nov 2018 14:34
Last Modified:01 Aug 2019 03:00

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