On classifier performance for remote sensing images compressed by different coders

• Published in: Avìacìjno-kosmìčna tehnìka ì tehnologìâ no. 1; pp. 67 - 77
• Main Authors: Proskura, Galina, Rubel, Oleksiy, Kryvenko, Sergii, Lukin, Vladimir
• Format: Journal Article
• Language: English
• Published: National Aerospace University «Kharkiv Aviation Institute 27.02.2023
• Subjects: lossy compression; neural network classifier; three-channel images; training data

Remote sensing data are widely used in numerous applications. A conventional task solved using remote sensing images is their classification. The classification maps are commonly produced by some pre-trained classifiers applied either to uncompressed or compressed images where lossy compression is o...