Hyperspectral Matched Filters with False Alarmmitigation
نویسندگان
چکیده
The adaptive matched filter is one of the most widely used algorithms for target detection in hyperspectral imaging applications [1]. However, due to the linearity of the decision surface, there are certain types of spectra that may lead to false alarms. In this paper, we exploit the geometrical structure of the matched filter and the replacement target model to develop a procedure which, when used in conjunction with the matched filter, provides a simple and effective tool for false alarm mitigation (FAM). The performance of MF with FAM detector is compared with that of the ENVI provided Mixture Tuned Matched Filter (MTMFTM) algorithm.
منابع مشابه
3D Gabor Based Hyperspectral Anomaly Detection
Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...
متن کاملClustering to improve matched filter detection of weak gas plumes in hyperspectral thermal imagery
The use of matched filters on hyperspectral data has made it possible to detect faint signatures. This study uses a modified -means clustering to improve matched filter performance. Several simple bivariate cases are examined in detail, and the interaction of filtering and partitioning is discussed. We show that clustering can reduce within-class variance and group pixels with similar correlati...
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 کاملLand Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing
The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...
متن کاملIntelligent Target Detection in Hyperspectral Imagery
Many applications that use hyperspectral imagery focus on detection and recognition of targets that occupy a portion of a hyperspectral pixel. We address the problem of sub-pixel target detection by evaluating individual pixels belonging to a hyperspectral image scene. We begin by clustering each pixel into one of n classes based on the minimum distance to a set of n cluster prototypes. These c...
متن کامل