Application Research of On-Board Satellite Remote Sensing Image Terrain Classification Based on Deep Learning

Aiming at the real-time on-board intelligent decoding/translating need of the satellite remote sensing image, the article raises up a system structure of satellite remote sensing image terrain classification based on the combination of terrain servers and on-board AI analyzing platform, and designs an on-board satellite remote sensing image terrain classification algorithm based on deepabv3+. Then, the optimizing solution satisfies the constraints of the performance and the storage of the on-board intelligent information system is offered. Tested by on-board AI analyzing platform built on land, the solution is proved to be able to satisfy the on-board real-time processing need, the on-board image decoding/translating speed and accuracy requirements.