| Assessment of Top of Atmosphere Reflectance Generation Algorithm for WorldView-2 High Resolution Images |
| Paper ID : 1143-ASAT19 (R5) |
| Authors: |
|
Mahmoud Mohamed Allam *1, Tarek Mahmoud2, Ahmed Elsharkawy3, Bassem Sheta4 1The Military Technical College Cairo, Egypt 2Electrical Engineering, Military Technical College, Cairo, Egypt 3Military Technical College, Cairo, Egypt 4Head of Aircraft Borne Equipment's Department, Military Technical College Cairo, Egypt |
| Abstract: |
| Recently, there are many developments in remote sensing techniques using satellite imagery as a result of the variety of remote sensed images sources with different spatial and spectral resolution and from different sensors. Optical satellite products are affected by error of payload, atmosphere (scattering and absorption) and variations relative to positions of Sun, Earth and satellite during capturing data. Top of Atmosphere (TOA) correction is the process of removing the effects of variations relative to sensor error and positions of Sun, Earth and satellite. In this paper, maximum benefits from high spectral and spatial resolution images are demonstrated and analyzed or compared with imagery from other sensors in a radiometric / spectral manner. TOA correction algorithm, which was implemented using Python environment, is applied to high resolution images from WorldView-2 (WV-2) satellite. TOA reflectance is considered as a first step in any algorithm dedicated for change detection process. Reflectance conversion is also performed on the same images using Orfeo ToolBox (OTB), open-source software. Performance and efficiency of the proposed algorithm is compared with that of Orfeo ToolBox (OTB) TOA reflectance output. The achieved results show that the proposed algorithm, which is automatically performed, is faster and provides significant results for WV-2 images and can be adapted to be applied on different optical satellite sensors. |
| Keywords: |
| Top of Atmosphere Reflectance, Atmospheric Correction, Orfeo ToolBox (OTB), Satellite Imagery, High Resolution Satellite Images, Image Statistics |
| Status : Conditional Accept (Oral Presentation) |
