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Performance Comparison Of Hyperspectral Target Detection Algorithms, Adam Cisz
Performance Comparison Of Hyperspectral Target Detection Algorithms, Adam Cisz
Theses
This thesis performs a performance comparison on existing hyperspectral target detection algorithms. The algorithms chosen for this analysis include multiple adaptive matched filters and the physics based modeling invariant technique. The adaptive matched filter algorithms can be divided into either structured (geometrical) or unstructured (statistical) algorithms. The difference between these two categories is in the manner in which the background is characterized. The target detection procedure includes multiple pre-processing steps that are examined here as well. The effects of atmospheric compensation, dimensionality reduction, background characterization, and target subspace creation are all analyzed in terms of target detection performance. At each …
Gis Analysis Of The Caves And Karst Of The Mariana Islands, Kevin Michael Toepke
Gis Analysis Of The Caves And Karst Of The Mariana Islands, Kevin Michael Toepke
Theses and Dissertations
The Mariana Islands are a volcanic island chain in the western Pacific Ocean composed of Eocene volcanic cores with a carbonate mantle. Others have classified the cave and karst features into the cave types described in the CIKM, but no comprehensive GIS has been developed. For this project, a comprehensive GIS of the cave and karst features was developed. The cave and karst features were divided by cave type, physiographic province, and island. The karst features in the GIS were hyperlinked to a series of HTML pages, one for each island, and a set of HTML navigation pages mirroring the …
Assessing Resolution Tradeoffs Of Remote Sensing Data Via Classification Accuracy Cubes For Sensor Selection And Design, Darrell Wesley Johnson
Assessing Resolution Tradeoffs Of Remote Sensing Data Via Classification Accuracy Cubes For Sensor Selection And Design, Darrell Wesley Johnson
Theses and Dissertations
In order to aid federal agencies and private companies in the ever-growing problem of invasive species target detection, an investigation has been done on classification accuracy data cubes for use in the determination of spectral, spatial, and temporal sensor resolution requirements. The data cube is the result of a developed automated target recognition system that begins with ?ideal? hyperspectral data, and then reduces and combines spectral and spatial resolutions. The reduced data is subjected to testing methods using the Best Spectral Bands (BSB) and the All Spectral Bands (ASB) approaches and classification methods using nearest mean (NM), nearest neighbor (NN), …