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Aerial Image Segmentation: A Survey

Gargi Bhattacharjee, Saswat K. Pujari Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Gargi Bhattacharjee, Saswat K. Pujari
10.5120/ijais2017451702
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  1. Gargi Bhattacharjee and Saswat K Pujari. Aerial Image Segmentation: A Survey. International Journal of Applied Information Systems 12(5):28-34, August 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451702,
    	author = "Gargi Bhattacharjee and Saswat K. Pujari",
    	title = "Aerial Image Segmentation: A Survey",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "August 2017",
    	volume = 12,
    	number = 5,
    	month = "August",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "28-34",
    	url = "http://www.ijais.org/archives/volume12/number5/998-2017451702",
    	doi = "10.5120/ijais2017451702",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

Due to the advancement in recent times, aerial images have started gaining a widespread in every domain of science. The primary data for any region can be obtained through tables, maps, graphs, etc. but these are not sufficient enough to present a real time analysis. So, an aerial image fills in the missing element. The images obtained have to undergo a lot of processing steps to enhance their quality. One such processing is segmentation. The main goal of image segmentation is to cluster the pixels of the regions corresponding to individual surfaces, objects, or natural parts of objects and to simplify and/or change the representation of an image into something that is more meaningful and easier to analyze. In this paper, we have presented a study of various segmentation techniques applied on aerial images. The processes have been explained in detail followed by a comparative table.

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Keywords

Image Processing, Remote Sensing, Aerial Images, Image Segmentation