Research on lossless continuous transmission method of agricultural low-altitude remote sensing image data
Zibin Zhou, Si‐Min He, Binbin He · Research Square · 2023
Abstract With the continuous innovation and development of modern technology, unmanned aerial vehicle remote sensing technology has been widely used in agriculture. After the UAV remote sensing operation is completed, a large number of low-altitude remote sensing images will be generated. These image files are relatively large, and each upload will take a lot of time, often due to abnormal conditions such as network fluctuations, the upload fails. In order to solve this problem, combining the practical application of remote sensing images, a storage model of uploading tasks is established, and a lossless continuous transmission method of massive agricultural low-altitude remote sensing image data is proposed. Finally, the simulation experiment is carried out on this method. The results show that in the processing of regional agricultural remote sensing data, the maximum upload time of the proposed lossless continuous transmission method is only 80 seconds, and the data integrity is more than 85%, with a maximum of 92%. It has high upload efficiency and quality, and provides a new method reference for the efficiency and convenience of agricultural production management.