Integrated remote sensing image fusion framework for target detection

The purpose of this project is to address one of the most challenging scientific pursuits of detecting and tracking targets from remote sensed data (typically multi-sensor temporal data) using a novel integrated image fusion framework. A major impact of this research project will be the realization...

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Bibliographic Details
Published in2013 IEEE 20th International Conference on Electronics, Circuits, and Systems (ICECS) pp. 86 - 87
Main Authors Basaeed, Essa, Loza, Artur, Al-Mualla, Mohammed
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2013
Subjects
Buildings
Feature extraction
highresolution imaging
Image fusion
Indexes
Object detection
performance evaluation
Remote sensing
target detection
Transportation
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Summary:The purpose of this project is to address one of the most challenging scientific pursuits of detecting and tracking targets from remote sensed data (typically multi-sensor temporal data) using a novel integrated image fusion framework. A major impact of this research project will be the realization of the effect of an automatic integrated image fusion framework for target localization applications within remote sensing. This research work will significantly advance the science and technology of remote sensing image fusion for particularly, security and surveillance applications. The project will highly benefit the scientific community and the remote sensing industry.
DOI:10.1109/ICECS.2013.6815356