Physics-based Detectors Applied to Long-wave Infrared Hyperspectral Data
نویسندگان
چکیده
Long-wave infrared (LWIR) hyperspectral image (HSI) data presents an interesting challenge for automatic target detection algorithms. LWIR HSI data is useful for both day and night operations, but weak signatures like disturbed soil can be problematic for standard matchedfilter techniques (Bowman, et al. 1998). In this paper, we augment the standard matched-filter techniques with physics-based information particular to HSI data. Our results show that these physics-based detectors provide improved detection performance with quick processing times.
منابع مشابه
Improving the RX Anomaly Detection Algorithm for Hyperspectral Images using FFT
Anomaly Detection (AD) has recently become an important application of target detection in hyperspectral images. The Reed-Xialoi (RX) is the most widely used AD algorithm that suffers from “small sample size” problem. The best solution for this problem is to use Dimensionality Reduction (DR) techniques as a pre-processing step for RX detector. Using this method not only improves the detection p...
متن کاملChemical Plume Detection for Hyperspectral Imaging
This paper details various aspects of the detection and identification of chemical plumes in long wave infrared (LWIR) data. The lack of well defined edges and the dynamic nature of a gas cloud leads to challenges in detection, particularly when the cloud diffuses and becomes thin. Contemporary graph segmentation algorithms are investigated to track the movement of the gaseous cloud as it sprea...
متن کاملChemical Plume Detection for Hyperspectral Imaging
This paper details various aspects of the detection and identification of chemical plumes in long wave infrared (LWIR) data. The lack of well defined edges and the dynamic nature of a gas cloud leads to challenges in detection, particularly when the cloud diffuses and becomes thin. Contemporary graph segmentation algorithms are investigated to track the movement of the gaseous cloud as it sprea...
متن کاملInfrared adaptive spectral imagers for direct detection of spectral signatures and hyperspectral imagery
Field test results are presented for a prototype long-wave adaptive imager that provides both hyperspectral imagery and contrast imagery based on the direct application of hyperspectral detection algorithms in hardware. Programmable spatial light modulators are used to provide both spectral and spatial resolution using a single element detector. Programmable spectral and spatial detection filte...
متن کاملUsing Visible Spectral Information to Predict Long-Wave Infrared Spectral Emissivity: A Case Study over the Sokolov Area of the Czech Republic with an Airborne Hyperspectral Scanner Sensor
Remote-sensing platforms are often comprised of a cluster of different spectral range detectors or sensors to benefit from the spectral identification capabilities of each range. Missing data from these platforms, caused by problematic weather conditions, such as clouds, sensor failure, low temporal coverage or a narrow field of view (FOV), is one of the problems preventing proper monitoring of...
متن کامل