RADIOMETRIC NORMALIZATION OF TEMPORAL IMAGES COMBINING AUTOMATIC DETECTION OF PSEUDO-INVARIANT FEATURES FROM THE DISTANCE AND SIMILARITY SPECTRAL MEASURES, DENSITY SCATTERPLOT ANALYSIS, AND ROBUST REGRESSION

Radiometric precision is difficult to maintain in orbital images due to several factors (atmospheric conditions, Earth-sun distance, detector calibration, illumination, and viewing angles).These unwanted effects must be removed for radiometric consistency among temporal images, leaving only land-leaving radiances, for optimum change detection.A var

Systemic sclerosis Beach Accessories (SSc) results from the complex interplay between the immune system, vasculature and tissue-repair mechanisms.Endothelial injury is the prime event; environmental triggers in the susceptible individual trigger the pathologic process, which translates into fibrosis.The outcome of SSc is not as bleak as it looked a

Abstract This work analyses the performance of Reinforcement Learning (RL) versus Swarm Intelligence (SI) for coordinating multiple unmanned High Altitude Platform Stations (HAPS) for communications area coverage.It builds upon previous work which looked at various elements of both algorithms.The main aim of this paper is to address the continuous