Title :
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
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;
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
DOI :
10.1109/IGARSS.2009.5418022
