首页|University of Madras Researchers Describe Findings in Machine Learning (Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classif iers in Google Earth Engine; A Case Study of Jammu District)
University of Madras Researchers Describe Findings in Machine Learning (Accuracy Assessment of Land Use Land Cover Classification Using Machine Learning Classif iers in Google Earth Engine; A Case Study of Jammu District)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence.According to news reporting from Tamil Nadu, India, by NewsRx journalists, research stated, “LULC (Land Use and Land Cover) involves classifyi ng and describing different land types and their usage.Using satellite imagery for LULC mapping is increasing in remote sensing.”
University of MadrasTamil NaduIndiaAsiaCyborgsEmerging TechnologiesMachine LearningRemote SensingSupport Vector Machines