Active-Passive Data Fusion Algorithms for seafloor Imaging andClassification from CZMIL Data

摘要

CZMIL will simultaneously acquire lidar and passive spectral data. These data will be fused to produce enhancedseafloor reflectance images from each sensor, and combined at a higher level to achieve seafloor classification. In theDPS software, the lidar data will first be processed to solve for depth, attenuation, and reflectance. The depthmeasurements will then be used to constrain the spectral optimization of the passive spectral data, and the resulting watercolumn estimates will be used recursively to improve the estimates of seafloor reflectance from the lidar. Finally, theresulting seafloor reflectance cube will be combined with texture metrics estimated from the seafloor topography toproduce classifications of the seafloor.