Multi Objective Optimization Based Land Cover Classification Using NSGA-II
Ajay Kumar Singh, Arpit Kumar Jain, Divya, Yogesh Kumar Sharma, Senthil Athithan, Savya Sachi · 2023
The current investigation makes use of a technique referred to as with multiple goals ounces-based land cover classification in order to identify the several forms of land use that are present in a certain area. For the purpose of forecasting the characteristics, the NSGA-II framework is going to be used, and it is going to offer accurate findings. The K-means Clustering method is applied for determining how the Land should be categorized. The tried and true strategy of Pareto Search was utilized for the land cover classification that was carried out in order to make comparisons more straightforward. The data revealed that NSGA-II attained an acceptable degree of performance when contrasted with the results of the Pareto Search.