Y. Baby Kalpana. Land use Image Segmentation for Coimbatore District using LANDSAT 7 Satellite Data. Dynamic Systems and Applications 30 (2021) No.8, 1383 – 1399

https://doi.org/10.46719/dsa202130811

ABSTRACT.
Image segmentation has a significant responsibility in Image Processing. It provides the partition of an input image into a multiple pixel region. This paper provides a proposed Region-Growing method for segmentation of the LAND SAT Images. In region growing approach, the neighbouring pixels of the sensed image are inspected and combined with the segmented class region. The process is done for every pixel boundary. The edges of the image pixel regions are found by the region growing method which is defined as perfect sub regions. LANDSAT 7 TM satellite data of Coimbatore District are used to proceed the segmentation process. Some of the practical applications of segmentation may include medical imaging, traffic control systems, video surveillance, object detection and so on. The role of this work is to find the segmentation of covered and used lands in Coimbatore District and also to calculate the revolutionized green lands, vegetation and Urban area for the last 5 years (2015 to 2020). The key elements will be used as communal lands, vested in conventional rights of original groups or early land occupants like hunters or gatherers of non-allocated lands. Using the segmentation algorithm, Land Use and Land Cover information’s in a multi-scalar and multi- temporal analysis are obtained. This work presents the region growing image segmentation method in which the Coimbatore District’s image is considered into the description.

Keywords: Region Growing, Segmentation Sensed Images, LANDSAT 7.