Perils from Climate Change Mapped using Image Processing: Segmentation and Enhancement
Kanwal Lodhi, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Arbab Waseem Abbas, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Kashif Ali, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Maliha Tahir Butt, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Mohib Ullah, Institute of Computer Sciences and Information Technology (ICS/IT), The University of Agriculture Peshawar, Pakistan.
Corresponding Author:
Kanwal Lodhi (mskanwal25@gmail.com)
Abstract:
Due to the rapid melting of Antarctica's ice sheets brought on by global warming, sea levels are rising and there is more flooding everywhere. The melting of the ice shelves and glaciers from Antarctica has increased in recent years, posing a serious threat to coastal cities all over the world. Satellite imaging is the process of gathering data about the surface of the Earth from a distance, usually using sensors aboard satellites or airplanes Remote sensing pictures may be segmented into useful portions using segmentation techniques, which can help in interpretation and analysis. Image processing techniques for segmentation and enhancement are essential tools in a variety of fields, including medical imaging, satellite imaging, and computer vision. These techniques involve the separation and enhancement of specific regions of an image based on their characteristics. This paper presents an overview of segmentation and enhancement techniques and their applications in various fields, highlighting their importance in image analysis and interpretation. The paper also discusses the advantages and limitations of different techniques and identifies areas for future research.
Keywords:
Global Warming; Segmentation; Recognition; Image Processing; Enhancement