• VG Hamsaveni

At a Glance, the Satellite Image is considered as the emerging application to extract the earth's surface information. This paper describes how much percentage of water, land and forest is present. Generally, a satellite image is a high-resolution image that covers around 1/3rd of earth's surface. Here we are going to detect the objects in a image, i.e., user satellite image. Extraction of a particular area in the image is very difficult due to having to find the techniques for Image Segmentation. The proposed model is based on Histogram Segmentation to classify the objects in an image. The thresholding is performed by considering the histogram mapping to the particular region of a satellite image. The proposed algorithm is based on Histogram segmentation and Morphological operations. There are seven main steps supporting each other. Histogram segmentation, Morphological dilation, Morphological erosion, Morphological opening, Morphological closing, Morphological fill image area and holes and ROI. This algorithm is able to detect the area of water, sky and forest separately.

Image, disaster, change detection, satellite

"MEASUREMENT OF ROI OF AGRICULTURE LAND BEFORE AND AFTER DISASTER WITH HISTOGRAM SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.170-179, March-2019, Available :http://www.jetir.org/papers/JETIR1903A25.pdf

"MEASUREMENT OF ROI OF AGRICULTURE LAND BEFORE AND AFTER DISASTER WITH HISTOGRAM SEGMENTATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp170-179, March-2019, Available at : http://www.jetir.org/papers/JETIR1903A25.pdf