Exploration of Pixel‐Based and Object‐Based Change Detection Techniques by Analyzing ALOS PALSAR and LANDSAT Data

Abstract

Land use/Land cover classification is essential from the point of Earth explorations and scientific investigation. Earlier, the land-use and land cover changes are monitored with the assistance of the pixel-based approach, and now objects based approaches have taken their place. In the pixel-based approach, image pixels are examined to monitor the changes developed in land use and land cover. The newly developed method in the field of remote sensing is object-based change detection (OBCD) techniques. These approaches have entirely changed the study of remotely sensing and satellite image processing. The pixel-based approach made a comparison based on changing pixels between two or a series of images. In contrast, the object-based approach constitutes the formation of objects (classes), e.g., water, urban, agriculture, soil, etc., between two images and making a comparison between them. One of the important accept of these techniques is how accurately they provide us information about the changes in the nearby surrounding. This paper begins with the development of traditional pixel-based methods and ends with the evolution of the latest object-based change detection techniques. LANDSAT and PALSAR images are used to represent the changes developed in the land use/ land cover using pixel-based and object-based approaches.