Geometric Accuracy Study of Orthorectification Based on Sensor Model Refinement in Imagery Subset Using ORFEO Toolbox (OTB)
暂无分享,去创建一个
Large scale base map can be obtained by various methods, one of them is orthorectification process of remote sensing satellite imagery to eliminate the relief displacement caused by height variation of earth surface. To obtain a map images with good quality, it requires additional data such as sensor model in the form of rational polynomial coefficients (RPC), surface model data, and ground control points Satellite imageries with high resolution file size are relatively large. In order to process them, high specification of hardwares were required. To overcome this by cutting only a portion of the images, based on certain study areas were suffer from of georeference lost so it would not be able to orthorectified. On the other hand, in several remote sensing software such as ESA SNAP and Orfeo Toolbox (OTB) subset or pixel extraction from satellite imagery, preserve the imagery geometric sensor models. This research aimed at geometric accuracy of orthorectification carried out in a single scene of Pleiades Imagery within the Kepahiang Subdistrict, located at Kepahiang Regency, Bengkulu Province, by using DEMNAS and the imagery refined sensor mode, and ground control points taken using GPS Survey. Related with the raw imagery condition which consists of Panchromatic and multispectral bands, this study were separated to assembly, pan sharpening , and sensor model refinement stages prior to orthorectification carried out both in the original or full extent imagery and the result of subset extent imagery. After these processses taken place, we measure the accuracy of each full and subset imagery. These procedures were carried out using Orfeo toolbox 6.6.0 in the Linux Mint 19 Operating system. From the process log, running time in total were 7814.518 second for the full extent and 4321.95 seconds for the subset processess. And as a big data process, the total of full extent imageries was 83.15 GB while the subset size was only 30.73 GB. The relative accuracy of the full extent and its subset imagery were 0.431 meters. Accuracy of the sensor model refinement process are 1.217 meters and 1.550 meters with GCP added, while the accuracu of the orthorectifications results were 0.416 meters and 0.751 meters by using ICP. Variation of execution time may caused by the data input size and complexity of the mathematical process carried out in each stages. Meanwhile, the variation of accuracy may caused by the check or control points placements above satellite Imagery which suffer from uncertainty when dealing with the sub-pixel position or under 0.5 meters.
[1] Peter Reinartz,et al. Comparison of orthorectification methods suitable for rapid mapping using direct georeferencing and RPC for optical satellite data , 2008 .
[2] Dai Yamazaki,et al. Impacts of spatial resolution and representation of flow connectivity on large-scale simulation of floods , 2017 .