In the past decade – particularly with the ability to mount digital optical devices on low cost Unmanned Aerial Vehicle (UAV) platforms – the generation of Digital Surface Models (DSM) based on stereo images has become a major component for an extensive number of applications at local scale, such as mapping, virtual terrain reconstruction and visualisation, simulations, civil engineering, precision farming, precision forestry and others. This DSMs category complements the more conventional one based on spaceborne, airborne and terrestrial imagery, which, in the same period, has seen an important evolution in terms of resolution and acquisition technology.
Opticalscape is a modular set of functions supporting the generation of DSMs based on satellite, UAV & airborne, and terrestrial stereo images. DSM and ortho-rectified mosaic are generated via workflows in an automated way, or alternatively, step-by-step, according to preset functionalities.
It supports the processing of all existing spaceborne stereo and tri-stereo data in terms of image orientation to automatic DSM and ortho-image generation. Key feature is the DSM generation, which is based on the most advanced algorithms thoroughly considering the new sensors characteristics. The figure – generated using SPOT-7 data – illustrates a 3D view of an industrial mine.
UAV & airborne stereo
It supports the processing of image pair series acquired from digital camera devices mounted either on UAV or aircraft platforms. Key feature is the DSM generation, which is based on the most advanced algorithms, and the automated DSM and ortho-image mosaicing. In order to facilitate the image orientation, images must include a coarse platform position, while attitude data are not mandatory. The figure top – which includes 450 images acquired by UAV Dji Phantom 4 – illustrates a 3D image view of a sinkhole region, while on the bottom, an urban area represented in a 3D image view consisting of 150 images acquired by Phase One camera mounted on an aircraft.
It supports the processing of image pair series acquired from digital camera devices mounted on a tripod. Key feature is the DSM generation, which is based on the most advanced algorithms, and the automated DSM and ortho-image mosaicing. In order to facilitate the image orientation, images must include a precise camera position. The figures – which consist of 10 images – illustrates a 3D side view – DSM and ortho-rectified mosaic – of an open pit.
Opticalscape is available under ENVI platform and distributed by HARRIS