Robotics & Machine Learning Daily News2024,Issue(Feb.20) :57-58.DOI:10.1109/ACCESS.2024.3358812

Data from Shenyang Agricultural University Broaden Understand- ing of Engineering (Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Tex- ture Features: A Case Study in the Liaohe Planting Area)

Robotics & Machine Learning Daily News2024,Issue(Feb.20) :57-58.DOI:10.1109/ACCESS.2024.3358812

Data from Shenyang Agricultural University Broaden Understand- ing of Engineering (Remote Sensing Image Classification Based on Multi-Spectral Cross-Sensor Super-Resolution Combined With Tex- ture Features: A Case Study in the Liaohe Planting Area)

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Abstract

2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on engineering. According to news originating from Shenyang, People’s Republic of China, by NewsRx correspondents, research stated, “High-resolution (HR) optical remote sensing images are typically small in swath and, due to cloud cover, their revisit period, mosaic error, and other problems, it is often infeasible to obtain a large range of remote sensing images for a study area. Meanwhile, low-resolution (LR) satellite images suffer from insufficient spatial and texture information for ground objects.” Funders for this research include Liaoning Provincial Department of Education Project.

Key words

Shenyang Agricultural University/Shenyang/People’s Republic of China/Asia/Engineering/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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