Feature selection techniques are often employed for reducing data dimensionality, improving computational efficiency, and most importantly selecting a subset of the important features model building. The present study explored utility Filter-Wrapper (FW) approach feature using terrestrial hyperspectral remote sensing imagery. efficacy FW was evaluated in conjunction with Random Forest (RF) Extr...

Design, simulation and optimal selection of cosine-linear frequency modulation waveform (CNLFM) based on correlated ambiguity function (AF) method for the purpose of Synthetic Aperture Radar (SAR) is done in this article. The selected optimum CNLFM waveform in contribution with other waveforms are applied directly into a SAR image formation algorithm (IFA) and their quality effects performance ...

Selection of appropriate size windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function developed to partition into different sub thresholding. After partitioning, each subimage segmented by Otsu’s approaches. The performance proposed method validated on benchmark test degree uneven Based qualitative and quantitat...

Background: Butterworth, Gaussian, Hamming, Hanning, and Parzen are commonly used SPECT filters during filtered back-projection (FBP) reconstruction, which greatly affect the quality and size accuracy of image. Materials and Methods: This study involved a cardiac phantom in which 1.10 cm thick cold defect was inserted into its myocardium wall and filled with 4.0 μCi/ml (0.148 MBq/ml) 99mTc conc...