On the Use of a New Additive Kernel for Change Detection using SVM

Author

Habib, Tarek ; Inglada, Jordi ; Mercier, Grégoire ; Chanussot, Jocelyn

Author_Institution

GIPSA-Lab., CNRS, Grenoble

Volume

3

fYear

2008

fDate

7-11 July 2008

Abstract

In the context of change detection and due to the multitude of change scenarios, the objective is to build a generic change detection system. For many technical and operational reasons the Support Vector Machines (SVM) algorithm is used. One of the crucial steps when using the SVM algorithm is the choice of the kernel function. With the lack of a priori information the choice of the kernel function may be difficult for the user. In this paper several techniques for constructing a suitable kernel function obtained from the data are proposed.

Keywords

geophysical techniques; geophysics computing; image reconstruction; operating system kernels; support vector machines; SVM algorithm; Support Vector Machines algorithm; change scenarios multitude; generic change detection system; kernel function construction; Change detection algorithms; Discrete cosine transforms; Equations; Indium phosphide; Kernel; Polynomials; Support vector machine classification; Support vector machines; Telecommunications; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International

Conference_Location

Boston, MA

Print_ISBN

978-1-4244-2807-6

Electronic_ISBN

978-1-4244-2808-3

Type

conf

DOI

10.1109/IGARSS.2008.4779308

Filename

4779308