1 publication

• Published Subscription 2 Jul 2019

  Multi-spectral Data Simulation Method Based on Hyperspectral Data

  By Xu Yang

  Abstract: Deep learning algorithms have been widely used in remote sensing image classification and recognition. Due to the difference in parameters such as spectral response functions of different sensors, a single sensor sample dataset cannot meet the needs of other sensors. Constructing sample datasets for different sensors will seriously increase the workload. To solve this problem, this paper proposes a multi-spectral data simulation method based on hyper spectral data and analyzes …

  Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 2, 2019 · pp. 43–51 Read article →