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Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd–Max Quantization

Radoi, Anamaria and Datcu, Mihai (2015) Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd–Max Quantization. IEEE Geoscience and Remote Sensing Letters, 12 (6), pp. 1223-1227. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/LGRS.2015.2389144 ISSN 1545-598X

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7029646


In this letter, we present a novel technique for unsupervised change analysis that leads to a method of ranking the changes that occur between two satellite images acquired at different moments of time. The proposed change analysis is based on binary descriptors and uses the Hamming distance as a similarity metric. In order to render a completely unsupervised solution, the obtained distances are further classified using vector quantization methods (i.e., Lloyd's algorithm for optimal quantization). The ultimate goal in the change analysis chain is to build change intensity maps that provide an overview of the severeness of changes in the area under analysis. In addition, the proposed analysis technique can be easily adapted for change detection by selecting only two levels for quantization. This discriminative method (i.e., between changed/unchanged zones) is compared with other previously developed techniques that use principal component analysis or Bayes theory as starting points for their analysis. The experiments are carried on Landsat images at a 30-m spatial resolution, covering an area of approximately 59×51 km2 over the surroundings of Bucharest, Romania, and containing multispectral information.

Item URL in elib:https://elib.dlr.de/96454/
Document Type:Article
Title:Automatic Change Analysis in Satellite Images Using Binary Descriptors and Lloyd–Max Quantization
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Radoi, AnamariaUniv. Politeh. of Bucharest, Bucharest, RomaniaUNSPECIFIED
Datcu, Mihaimihai.datcu (at) dlr.deUNSPECIFIED
Date:June 2015
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
DOI :10.1109/LGRS.2015.2389144
Page Range:pp. 1223-1227
Frery, Alejandro C.Ufal - Universidade Federal de Alagoas, Maceió, AL - Brazil
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Binary descriptors, change analysis, Hamming distance, Lloyd–Max quantization, multitemporal satellite images
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 > Photogrammetry and Image Analysis
Deposited On:16 Jun 2015 10:16
Last Modified:31 Jul 2019 19:53

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