Использование комплексирования разноспектральных изображений в задачах информационной поддержки воздушных поисково-спасательных операций в Арктической зоне Российской Федерации

Abstract

In order to ensure flight safety during search and rescue operations in difficult meteorological conditions of the Arctic Zone of the Russian Federation, the formation of messages and signals about an approaching obstacle, for the purpose of information support for the crew, is necessary to provide visualization of the cabin situation by combining environmental images obtained by cameras in various spectral ranges. The integral indicator of image quality is applicable to assess the informativeness of both the entire image and its individual parts of interest, obtained automatically or highlighted by the operator. It is advisable to use this indicator to assess the information content of the channels of technical vision systems with the aim of adaptive adjustment of video image aggregation algorithms, in particular, as part of the hardware and software complex for search and rescue operations in difficult meteorological conditions. The implementation of the image aggregation procedure with subsequent visualization requires the presence of hardware, video cameras, television, long-wave and short-wave infrared ranges. It should be noted that each range requires certain shooting conditions and, accordingly, is characterized by a given quality of the images obtained. The article shows the advantages and disadvantages of using cameras in these spectral ranges, presents the results of their practical use, describes the procedure for image aggregation, and provides parameters for assessing their quality. It should be said that today, a very relevant area of research is the synthesis of complexes for providing aerial search and rescue operations with mod-ules and hardware and software that implement procedures for ensuring the integration of initial data, which are often formed by a laser-television module (LTM), including television video cameras (TV), long-wave infrared (LWIR) cameras, short-wave in-frared (SWIR) cameras, a laser-location module and a forward-looking radar station