Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Optical and Computational Technologies for Measurements and Industrial Applications (OptiComp 2025); Bukhara; Bukhara
Год издания: 2025
Идентификатор DOI: 10.1117/12.3078224
Ключевые слова: environmental monitoring, uav, sensor, optical systems, Image Segmentation, intelligent onboard system
Аннотация: In the context of increasing environmental pressures and the growing complexity of the structural-functional configuration of natural landscapes, the development of autonomous aerial sensor platforms capable of highly automated interpretation of heterogeneous visual data in real time becomes particularly relevant. This study addresПоказать полностьюses the methodological and algorithmic aspects of image segmentation within onboard cognitive systems integrated into the architecture of unmanned aerial vehicles operating within the paradigm of ecologically oriented remote sensing. A cross-paradigm comparative analysis is conducted between traditional low-level segmentation procedures and modern deep neural network architectures capable of extracting high-level semantic descriptors under conditions of scene entropy and morphological heterogeneity. The results are presented in the form of recommendations for synthesizing resource-efficient, context-adaptive, and hardware-compatible solutions for the development of intelligent onboard systems for ecological monitoring in the new technological paradigm.
Журнал: Optical and Computational Technologies for Measurements and Industrial Applications (OptiComp 2025)
Номера страниц: 138030
Место издания: Bukhara