Title :
Time series processing of FLIR imagery for MTI and change detection
Author :
Soumekh, Mehvdad ; Young, S. Susan ; Nasrabadi, Nasser M.
Author_Institution :
Dept. of Electr. Eng., State Univ. of New York, Buffalo, NY, USA
Abstract :
The paper addresses the problem of calibrating FLIR images of a scene that are acquired at different time points to construct information for moving target indication (MTI) and change detection. A signal model is developed to identify variations and imperfections of an FLIR sensor in time. This model is utilized to compensate for relatively slow variations of a bias in the FLIR sensor via a Fourier-based processing. Furthermore, a two-dimensional adaptive filtering method is developed to compensate for variations of the image point response (IPR) of a FLIR sensor as well as sub-pixel changes in the relative coordinates of the sensor-target over time. Results with time series FLIR, data of a scene with an airborne helicopter and a ground target are provided.
Keywords :
adaptive filters; calibration; infrared detectors; infrared imaging; object detection; time series; 2D adaptive filter; FLIR imagery; Fourier-based processing; MTI; airborne helicopter; change detection; forward-looking infra-red devices; ground target; image point response; moving target indication; sub-pixel changes; time series processing; two-dimensional adaptive filter; Adaptive filters; Helicopters; Image sensors; Intellectual property; Laser radar; Layout; Optical filters; Optical sensors; Radar imaging; Surveillance;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1199858
