Research on Remote Sensing Detailed by Researchers at Qiqihar University (Remote Sensing Scene Image Classification Based on Self-Compensating Convolution Neural Network)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Researchers detail new data in remote sensing. According to news originating from Qiqihar, People’s Republic of China, by NewsRx correspondents, research stated, “In recent years, convolution neural networks (CNNs) have been widely used in the field of remote sensing scene image classification. However, CNN models with good classification performance tend to have high complexity, and CNN models with low complexity are difficult to obtain high classification accuracy.”