Simple Image Features for Remote Sensing Strange Images Identification
Dimitrije M. Bujaković, Boban P. Bondžulić, Владимир Васильевич Лукин, Fangfang Li · 2023
The identification of the remote sensing images with non-monotonic dependence of the rate-distortion curve to the parameter that controls compression (strange images) is addressed in this research. Twenty-two simple features are extracted from the publicly available dataset with remote sensing images, and these features are compared using correlation between features and strange image membership function, as well as the correlations between analyzed features. Obtained results show that gray level entropy provides highest correlation with strange image membership function.