Translator Disclaimer
Paper
5 October 2006 Anomaly gas remote sensing and tracking using a field-portable imaging thermal radiometric spectrometer
Author Affiliations +
Abstract
Using a set of radiometric thermal hyperspectral data cubes, we developed an algorithm which detects the formation of an anomalous gas cloud. Once we've established the presence of the cloud in the latter images, we determine the origin of the cloud in the earlier ones and track its propagation. Gas usually expands from point sources and it is difficult to know whether it is significant when it occupies merely a few pixels in the image. After the gas size expands, it is easier to analyze as an interesting anomalous feature. Our algorithm includes techniques such as the improved K-Means classification, Spectral Angle Mapper (SAM), match filter and tracking; in the paper we will show results based on real data taken by the "FIRST" camera (Field-portable Imaging Radiometric Spectrometer Technology).
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eran Ohel D.D.S., Stanley R. Rotman, Dan G. Blumberg, and Lior Sagiv "Anomaly gas remote sensing and tracking using a field-portable imaging thermal radiometric spectrometer", Proc. SPIE 6395, Electro-Optical and Infrared Systems: Technology and Applications III, 63950X (5 October 2006); https://doi.org/10.1117/12.687021
PROCEEDINGS
7 PAGES


SHARE
Advertisement
Advertisement
Back to Top