首页|Studies from International Institute of Information Technology Have Provided New Data on Machine Learning (Spatial Analysis of Land Use Land Cover Dynamics in t he Madurai District Using Sentinel-2Data and Supervised Learning Algorithms)
Studies from International Institute of Information Technology Have Provided New Data on Machine Learning (Spatial Analysis of Land Use Land Cover Dynamics in t he Madurai District Using Sentinel-2Data and Supervised Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews-Research findings on artificial intelligence are discussed in a new report. According to newsoriginating from Karnataka, India, by NewsRx correspondents, research stated, "LULC, or Land Use andLand Cover, re fers to the classification and description of different types of land and its us age patterns,including urban areas, forests, agricultural land, etc."Our news journalists obtained a quote from the research from International Insti tute of InformationTechnology: "In remote sensing, satellite imagery for LULC m apping is becoming more widespread.Numerous studies examine various approaches to improve mapping efficiency and accuracy, highlightingthe significance of var ious data sources, machine learning algorithms, and categorization techniques. T hisstudy employs machine learning classifiers, namely Random Forest (RF), Suppo rt Vector Machine (SVM),Gradient Boosted Trees (GTB), Classification and Regres sion Trees (CART), and K-Nearest Neighbors(KNN) for land use and land cover (LU LC) classification of Madurai district utilizing Google Earth Engine.The findin gs reveal the impressive performance of Random Forest, boasting an overall accur acy of 99.01percent coupled with a commendable Kappa coefficient of 98.68. Conv ersely. However, amidst thesecommendable achievements, it's noteworthy to highl ight the nuanced variations observed between theaccuracy of training and valida tion sets."
International Institute of Information T echnologyKarnatakaIndiaAsiaAlgorithmsCyborgsEmerging TechnologiesM achine LearningSupervised Learning
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