New Remote Sensing Research Reported from Petrozavodsk State University (NNetEn [ [2D] ] : Two-Dimensional Neural Network Entropy in Remote Sensing Imagery and Geophysical Mapping)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on remote sensing. According to news originating from Petrozavodsk, Russia, by NewsRx correspondents, research stated, “Measuring the predictability and complexity of 2D data (image) series using entropy is an essential tool for evaluation of systems’ irregularity and complexity in remote sensing and geophysical mapping. However, the existing methods have some drawbacks related to their strong dependence on method parameters and image rotation.”