This article proposes a new Bayesian-based binary compression model for UAV aerial pictures. This technique utilizes inter-signal correlations to extract several sparse signals simultaneously. The BKF-based approach employs both intra- and inter-signal correlations. The Bessel K-form (BKF) features a higher zero peak with longer tails. Consumers may use UAV-borne base stations for temporary or emergency services. The study aims to enhance UAV-BS spectrum usage while maintaining user fairness. Through aerial picture quality, the proposed method adjusts the distribution of bandwidth, power, and UAV-BS trajectory to capture the object image. The proposed method outperforms other approaches in aerial picture detection. Bayesian-based binary compression reduces picture size and minimizes noise, enabling high-quality aerial images. © 2024 Elsevier B.V., All rights reserved.