Rise – E2e Simulator for the Generation of User Defined Spectral Imaging Data Sets

2021
Current end-to-end (E2E) simulators support the development of satellite missions in various ways including the evaluation of technical requirements and the assessment of preliminary instrument performance. However, most E2E simulators are designed to be instrument-specific and are incapable of depicting the entire processing chain. This paper introduces a generic simulator, the Remote Sensing Image Simulation Environment (RISE), capable of covering a large spectrum of remote sensing applications. The generic design of RISE offers the user full control of every processing step including the simulation of real ground-truth to ground-truth data and instrument behaviour. Consequently, users can generate training data, necessary for deep learning (DL) algorithms in remote sensing applications, with substantially improved quality. RISE comprises a geometry module (GM), scene generation module (SGM), sensor module (SM), as well as Level 1 (L1) and Level 2 (L2) processing modules, which are currently under development.
    • Correction
    • Source
    • Cite
    • Save
    13
    References
    0
    Citations
    NaN
    KQI
    []
    Baidu
    map