Target Detection: Remote Sensing Techniques for Defence Applications
Keywords: Multisource data integration, Neural networks, Synthetic aperture radar, Image processing, Remotely sensed digital images, Target detection, Remote sensing
AbstractThe tremendous development in remote sensing technology in the recent past has opened up new challenges in defence applications. On important area of such applications is in target detection. This paper describes both classical and newly developed approaches to detect the targets by using remotely-sensed digital images. The classical approach includes statistical classification methods and image processing techniques. The new approach deals with a relatively new sensor technology, namely, synthetic aperture radar (SAR) systems and fast developing tools, like neural networks and multisource data integration for analysis and interpretation. With SAR images, it is possible to detect targets or features of a target that is otherwise not possible. Neural networks and multisource data integration tools also have a great potential in analysing and interpreting remote sensing data for target detection.
How to Cite
Chaudhuri, B., & Parui, S. (2013). Target Detection: Remote Sensing Techniques for Defence Applications. Defence Science Journal, 45(4), 285-291. https://doi.org/10.14429/dsj.45.4135
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