Identifying Various Change Detection Procedures and Techniques in Image Processing Applications

This study presents a systematic study of various application areas where change detection procedures and techniques are used to study change developed due to image processing, remote sensing, biomedical application, etc. The study of change detection techniques can provide details about the arrangement of the pixels (spectral as well as spatial), change developed in the texture features by analyzing them through grey level co-occurrence matrix (GLCM), identification of various supervised and unsupervised image classification techniques, and use of the image retrieval and encryption techniques. Finally, Skysat and Planetscope data is further used to present a pre- and post-study area change detection map, followed by texture analysis and quantification.