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Coarse to fine patches-based multitemporal analysis of very high resolution satellite images

Cui, Shiyong and Datcu, Mihai (2011) Coarse to fine patches-based multitemporal analysis of very high resolution satellite images. 6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 , 12-14 July 2011 , Trento, Italy. ISBN 978-1-4577-1202-9

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Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6005054&tag=1

Abstract

In this paper, a patch based method for multi-temporal analysis of high resolution image is proposed. Conventionally, multi-temporal analysis performed at pixel level suffer from several restrictions, e.g., registration, bi-temporal analysis. To overcome these restrictions, two methods for multi-temporal analysis are proposed at patch level. One is for change detection in time series data by classifying all pairs of patches along time axis in the whole sequence into two classes. Features used for classification are similarity measures based on local statistical models and histogram of local patterns. The other aims at evolution analysis in long image time series. To characterize the evolution patterns, spatio-temporal local pattern features are extracted from time series data. ν-support vector machine (ν-SVM) is applied to classify different kinds of evolution at patch level. Performance is evaluated based on our database produced by iterative classification.

Item URL in elib:https://elib.dlr.de/72631/
Document Type:Conference or Workshop Item (Paper)
Title:Coarse to fine patches-based multitemporal analysis of very high resolution satellite images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Cui, ShiyongDLRUNSPECIFIED
Datcu, MihaiDLRUNSPECIFIED
Date:12 July 2011
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 85-88
ISBN:978-1-4577-1202-9
Status:Published
Keywords:Image processing, Density estimation, Change detection
Event Title:6th International Workshop on the Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011
Event Location:Trento, Italy
Event Type:international Conference
Event Dates:12-14 July 2011
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 By: Cui, Shiyong
Deposited On:09 Dec 2011 11:40
Last Modified:31 Jul 2019 19:33

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