INTEGRATION OF CONVOLUTIONAL NEURAL NETWORKS AND OBJECT-BASED POST-CLASSIFICATION REFINEMENT FOR LAND USE AND LAND COVER MAPPING WITH OPTICAL AND SAR DATA

Object-based image analysis (OBIA) has been widely used for land use and land cover (LULC) mapping using optical and synthetic aperture radar (SAR) images because it can utilize spatial information, reduce the effect of salt and pepper, and delineate LULC boundaries.With recent advances in machine learning, convolutional neural networks (CNNs) have

Autonomous mobile robots (AMRs) face challenges in navigating complex environments efficiently.To manoeuvre through both narrow and wide spaces, AMRs require two essential design features: a compact form for tight areas as well as a large configuration with omnidirectional movement for wide Knife spaces.This study utilizes inhouse designed Expand a

The mechanisms of laser ablation of materials under the interaction of powerful pulsed laser radiation with a material coated with a Accessories thin film system were studied.One of the first models of such interaction of high-power laser radiation with matter was the thermal model.A onetemperature thermal model was used when considering the intera

Abstract Background Epithelial Ovarian Cancer (EOC) is the second most common gynaecological cancer and accounts for more deaths than all gynaecological cancers combined.Despite extensive research, progress has been slow in understanding the pathobiology.EOC is identified as a heterogeneous malignancy with various histological subtypes.It is now we

The planetary ionospheric storm index, Wp, is deduced from the numerical global ionospheric GPS-IONEX maps of the vertical total electron content, TEC, for more than half a solar cycle, 1999–2008.The TEC values are extracted from the 600 grid points of the map at latitudes 60° N to 60° S with a step of 5° and longitudes 0° to