On the effects of pan-sharpening to target detection

Author

Garzelli, Andrea ; Capobianco, Luca ; Nencini, Filippo

Author_Institution

Dept. of Inf. Eng., Univ. of Siena, Siena, Italy

Volume

2

fYear

2009

fDate

12-17 July 2009

Abstract

We present an experimental study on the effects of pansharpening on target detection from multispectral and panchromatic images acquired by very-high resolution satellite sensors. Original and spatially-enhanced image data are used to detect relatively small targets (vehicles on an airport scenario) characterized by a sufficiently well-defined spectral signature in the four MS bands. The aim of the paper is to compare different pansharpening methods by evaluating the performances of target detection on true MS and panchromatic data. Both linear and kernel-based one-class classification methods are considered for the target detection process.

Keywords

image classification; image enhancement; object detection; sensor fusion; kernel-based one-class classification; linear one-class classification; multispectral images; panchromatic images; pansharpening; spatially-enhanced image data; target detection; vehicles; very-high resolution satellite sensors; Airports; Image resolution; Image sensors; Object detection; Performance evaluation; Satellites; Sensor phenomena and characterization; Spatial resolution; Vehicle detection; Vehicles; Image fusion; Pansharpening; Target detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009

Conference_Location

Cape Town

Print_ISBN

978-1-4244-3394-0

Electronic_ISBN

978-1-4244-3395-7

Type

conf

DOI

10.1109/IGARSS.2009.5418022

Filename

5418022