A computationally efficient methodology to determine the background pure classes present in a low resolution hyperspectral image has been previously proposed by ...
Abstract— A target material may be considered as an anomaly in an image, having different spectral signatures from the spectral signatures of the background ...
hyperspectral imagery has been investigated for anomaly detection and for object classification. (References are given in the report.) A version of FLD for ...
Image classification techniques help identifying those differences and quantifying the result. Hyperspectral imaging for the supervision and evaluation of ...
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Jan 14, 2024 · PDF | Recently, real-time image data processing is a popular research area for hyperspectral remote sensing. In particular, target detection ...
We describe the development of a real-time processing tool for hyperspectral imagery based on off-the-shelf equipment and higher level programming language ...
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A lightweight classifier is proposed for the real-time identification of olives in images ... time, and classification performance. ... Objects in the background ...
Using a new collection of fifty hyperspectral images of indoor and outdoor scenes, we derive an optimized “spatio-spectral basis” for representing hyperspectral ...
The proposed CBL method identifies the background classes, and so facilitates detection of the anomalies. CBL is built based on this reality that anomalies ...