Abstract
The compact hydrographic airborne rapid total survey (CHARTS) is a USACE sensor system that includes a SHOALS-3000 (3-kHz bathymetric laser and a 20-kHz topographic laser), CASI-1500 hyperspectral scanner, and a DuncanTech (DT)- 4000 digital RGB camera. The datasets produced from each sensor in CHARTS contributes a specific aspect according to its physical capabilities and limitations. Fusion of data products from a multi-sensor collection has the potential to perform a comprehensive survey and to produce tools for geo-analysis, especially for coastal research. A basic requirement in the data fusion is the co-registration between the datasets. Data from GPS/INS was intentionally ignored to simulate a situation where data can be corrupt or absent and also to check quality of georeferencing of the products. The pixel resolution of the different datasets should be smaller than a pixel resolution of the highest spatial-resolution data set for the registration. This task is extremely hard to achieve in aerial remote-sensing even when using auxiliary positioning and attitude data such as GPS/INS flight logs. Each of the three sensors operates differently and require a different approach for registration: SHOALS-3000 (whiskbroom), CASI-1500 (pushbroom), and a DuncanTech (DT)-4000 (frame capture). Preliminary results show good results of registration between the different sensors. This study is the first step in the investigation of the CHARTS system to characterize, quantify and monitor the coastal zone.
Department
Center for Coastal and Ocean Mapping
Publication Date
3-2009
Journal Title
Coastal Geotools 2009
Pages
62-63
Conference Date
Mar 2 - Mar 5, 2009
Publisher Place
Myrtle Beach, SC, USA
Publisher
U.S. Geological Survey
Document Type
Conference Proceeding
Recommended Citation
Pe'eri, Shachak and Rzhanov, Yuri, "CHARTS data fusion: Multi-sensor imagery co-registration" (2009). Coastal Geotools 2009. 493.
https://scholars.unh.edu/ccom/493
Included in
Computer Sciences Commons, Oceanography and Atmospheric Sciences and Meteorology Commons