Plugin-driven sensor modeling of remote sensing imaging systems
Scott D. Brown, Adam A. Goodenough · 2017
A new radiometry and design framework has been introduced in the latest Digital Imaging and Remote Sensing Image Generation model (DIRSIG5) that allows for faster simulations while streamlining the generation of high-fidelity radiometric data. The same framework that allows for improved computational performance has also modularized simulation components to allow for extensive interchangeability based on simulation needs. This new framework includes several plugin interfaces that facilitate native and 3rd party extensions to the model. A sensor plugin and its interaction with the internal radiometry engine is described and then demonstrated by modeling systems with rolling shutters and time-delayed integration.