We evaluate the usefulness of X-band, airborne (helicopter) data for tomography over forestry regions and discuss the use of compressive sensing algorithms to aid X-band airborne tomography. This work examines if there is any information that can be gained from forest volumes when analysing forestry sites using X-band data. To do so, different forest scenarios were simulated and a fast SAR simulator was used to model airborne multipass SAR data, at X-band, with parameters based on Leonardo's PicoSAR instrument. Model simulations considered varying factors that affect the height determination when using tomography. The main parameters that are considered here are: motion errors of the platform, the spacing of the flight paths, the resolution of the SAR images and plant life being present under the canopy (an understory). It was found that residual motion errors from the airborne platform cause the largest error in the tomographic profile.
Fiona Muirhead, Iain H. Woodhouse, and Bernard Mulgrew, "Airborne X-band SAR tomography for forest volumes," Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 1000308 (Presented at SPIE Remote Sensing: September 29, 2016; Published: 18 October 2016); https://doi.org/10.1117/12.2240645.
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Study of self-shadowing effect as a simple means to realize nanostructured thin films and layers with special attentions to birefringent obliquely deposited thin films and photo-luminescent porous silicon