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Hyperspectral Data Dimensionality Reduction Using Hybrid Approach
Hyperspectral data contain a large volume of information. This abundance of data is hard to exploit due to high computational cost involved in processing this data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional data. In this paper, a new methodology has been proposed that is based on exist...
متن کاملAccuracy Analysis on the Automatic Registration of Multi-Source Remote Sensing Images Based on the Software of ERDAS Imagine
The automatic registration of multi-source remote sensing images (RSI) is a research hotspot of remote sensing image preprocessing currently. A special automatic image registration module named the Image Autosync has been embedded into the ERDAS IMAGINE software of version 9.0 and above. The registration accuracies of the module verified for the remote sensing images obtained from different pla...
متن کاملMagnetic Properties of Neutrinos in High Temperature
We calculate the finite temperature self-energy for neutrinos in the presence of a constant magnetic field in a medium in the unbroken SU(2) ⊗ U(1) model. We obtain the exact dispersion relation for such neutrinos and find that the thermal effective mass is modified by the magnetic field. We also find a simple analytic expression for the dispersion relation and obtain the index of refraction fo...
متن کاملThe Generating Algorithm and Case Study for the Spectral Reflectance Images of Ground Features
The paper got the data of spectral reflectance of ground features from field surveying by using field spectroradiometer. The spatial distribution information of the ground features was obtained from the land-use map. Based on above mentioned, the generating algorithm of spectral reflectance image of ground features was developed by Modeler module of ERDAS Imaging software. The four bands were s...
متن کاملEvaluation of Various Segmentation Tools for Extraction of Urban Features Using High Resolution Remote Sensing Data
The study involves segmentation of the image using the three segmentation modules of three software namely ERDAS Imagine, ENVI and eCognition to extract building features. The best parameters for segmenting buildings have been established. New method of evaluation has been presented for evaluating segmentation quality. The results of three segmentation modules are assessed using the proposed ev...
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