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

Author

Cui, Shiyong ; Datcu, Mihai

fYear

2011

fDate

12-14 July 2011

Firstpage

85

Lastpage

88

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.

Keywords

geophysical image processing; image classification; iterative methods; remote sensing; statistical analysis; support vector machines; time series; ν-SVM; ν-support vector machine; change detection; classification features; coarse patch based multitemporal analysis; fine patch based multitemporal analysis; iterative classification; local pattern histogram; local statistical models; long image time series; patch based method; time series data; very high resolution satellite images; Feature extraction; Histograms; Image resolution; Kernel; Remote sensing; Time series analysis; Visualization; G model; Multi-temporal analysis; Support vector machine (SVM); Synthetic aperture radar (SAR); image time series; local pattern histogram;

fLanguage

English

Publisher

ieee

Conference_Titel

Analysis of Multi-temporal Remote Sensing Images (Multi-Temp), 2011 6th International Workshop on the

Conference_Location

Trento

Print_ISBN

978-1-4577-1202-9

Type

conf

DOI

10.1109/Multi-Temp.2011.6005054

Filename

6005054