Aerospace Instrument-Making Annotation << Back System for Quality Assessment of Target Information in Earth Remote Sensing Kuznetcov A.E., Laryukov S.A. Quality assessment tasks for target information from high spatial resolution Earth remote sensing systems are addressed, focusing on the detection of intra-frame distortions and the assessment of image information content. To detect intra-frame distortions, an algorithm based on mutual relative shifts of adjacent image rows has been developed. To assess image information content, a trained k-means algorithm and a neural network-based algorithm for cloud and blooming segmentation are considered, with the neural network algorithm proving to be the most suitable. Design principles for remote sensing data catalog are discussed. Keywords: remote sensing, image quality assessment, temporal and cluster analysis, cloud and blooming segmentation. DOI: 10.25791/aviakosmos.6.2026.1562 Pp. 15-19.