Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"band combinations"”.
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Increasing the Precision of Forest Area Estimates through Improved Sampling for Nearest Neighbor Satellite Image Classification
… from the training data pools. All possible band combinations of the six non-thermal ETM+ bands were evaluated for every sample draw. Comparisons were made between classification accuracies to determine if all six bands were needed. The utility of separability indices, minimum and average …
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A Transfer Learning Approach for Automatic Mapping of Retrogressive Thaw Slumps (RTSs) in the Western Canadian Arctic
… model with different settings, including image band combinations, backbones, and backbone trainable layers, and performed hyper-parameter tuning and determined the optimal learning rate, momentum, and decay rate for each of the model settings. Our final model successfully mapped most of the RTSs …
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Stacked generalization for early diagnosis of Alzheimer's disease
… (specific electrode - stimuli - frequency band combinations) were combined using different data fusion techniques for further analyses. Particular emphasis was made for the value of procedure in the diagnosis of the disease at its earliest stage.</p>
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Development of bio-optical algorithms to estimate chlorophyll in the Great Salt Lake and New England lakes using in situ hyperspectral measurements
… lakes. The spectral data were used to mimic bands utilized by the MODIS, MERIS, and SeaWiFS sensors, as well as for a theoretical hyperspectral sensor with 3-nm wide bands, providing the capability to evaluate algorithm performance in all of these sensors. In addition to the traditional bands …
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Deep Learning for Early Detection, Identification, and Spatiotemporal Monitoring of Plant Diseases Using Multispectral Aerial Imagery
… of using transfer learning and different three-band color combinations to train single- and multiple-crop classification models. The results of these studies show that models combining red, near infrared, and blue bands performed better than models trained with the traditional visible spectral …
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Speleogenetic Evolution and Geological Remote Sensing of the Gypsum Plain, Eddy County, New Mexico
… sensor’s higher spectral resolutions and band combinations, deemed unnecessary because of the contrasting reflectance values of surface strata across the Gypsum Plain. Coupling of an improved speleogenetic evolution of the area with more accurate geologic mapping enables the development of …