VHR Semantic Labeling by Random Forest Classification and Fusion of Spectral and Spatial Features on Google Earth Engine

M. Kakooei; Y. Baleghi

Volume 8, Issue 3 , July 2020, , Pages 357-370


  Semantic labeling is an active field in remote sensing applications. Although handling high detailed objects in Very High Resolution (VHR) optical image and VHR Digital Surface Model (DSM) is a challenging task, it can improve the accuracy of semantic labeling methods. In this paper, a semantic labeling ...  Read More

Propensity based classification: Dehalogenase and non-dehalogenase enzymes

R. Satpathy; V. B. Konkimalla; J. Ratha

Volume 3, Issue 2 , July 2015, , Pages 209-215


  The present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. The data sets were made on an individual basis by selecting the 3D structures of protein ...  Read More