首页|Investigators at Utah State University Report Findings in Machine Learning (Spat iotemporal Data Augmentation of Modis-landsat Water Bodies Using Adversarial Net works)

Investigators at Utah State University Report Findings in Machine Learning (Spat iotemporal Data Augmentation of Modis-landsat Water Bodies Using Adversarial Net works)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating in Logan, Utah, by NewsR x journalists, research stated, “With increasing demands for precisewater resou rce management, there is a growing need for advanced techniques in mapping water bodies.The currently deployed satellites provide complementary data that are e ither of high spatial or hightemporal resolutions.”

LoganUtahUnited StatesNorth and Ce ntral AmericaCyborgsEmerging TechnologiesMachine LearningRemote SensingUtah State University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.23)