Analysis of standard deviation normalization in segmented target detection algorithm

Haim Elisha; Stanley Rotman

doi:10.1117/12.3029892

1 November 2024 Analysis of standard deviation normalization in segmented target detection algorithm

Haim Elisha, Stanley Rotman

Author Affiliations +

Proceedings Volume 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI; 132001F (2024) https://doi.org/10.1117/12.3029892
Event: Security + Defence, 2024, Edinburgh, United Kingdom

Abstract

This article presents a novel method for point target detection in remote sensing imagery, focusing on the development of an innovative approach to enhance detection accuracy and reduce false positives. The core contribution of this research lies in the refinement of traditional point target detection algorithms by introducing a targeted strategy to exclude edge artifacts and seamlessly integrating the methodology into a segmented matched filter framework. In this research we will expand the matched filter standard deviation filter (1) to the segmented matched filter.

Conference Presentation

Citation Download Citation

Haim Elisha and Stanley Rotman "Analysis of standard deviation normalization in segmented target detection algorithm", Proc. SPIE 13200, Electro-Optical and Infrared Systems: Technology and Applications XXI, 132001F (1 November 2024); https://doi.org/10.1117/12.3029892

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