Image Processing Techniques for Analysis of Satellite Images for Historical Maps Classification—An Overview
Source abstract
Abstract
Historical maps classification has become an important application in today’s scenario of everchanging land boundaries. Historical map changes include the change in boundaries of cities/states, vegetation regions, water bodies and so forth. Change detection in these regions are mainly carried out via satellite images. Hence, an extensive knowledge on satellite image processing is necessary for historical map classification applications. An exhaustive analysis on the merits and demerits of many satellite image processing methods are discussed in this paper. Though several computational methods are available, different methods perform differently for the various satellite image processing applications. Wrong selection of methods will lead to inferior results for a specific application. This work highlights the methods and the suitable satellite imaging methods associated with these applications. Several comparative analyses are also performed in this work to show the suitability of several methods. This work will help support the selection of innovative solutions for the different problems associated with satellite image processing applications.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Remote-Sensing Image Classification · Automated Road and Building Extraction · Remote Sensing and Land Use
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore 641114, India
Faculty of Economics, Computer Sciences and Engineering, Vasile Goldis Western University of Arad, Bulevardul Revoluției 94, 310025 Arad, Romania
Faculty of Exact Sciences, Aurel Vlaicu University, 310032 Arad, Romania
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