Compact, low cost, airborne SAR interferometry for environmental monitoring

Muirhead, Fiona; Halcrow, Gavin; Woodhouse, Iain; Mulgrew, Bernard; Greig, David M

doi:10.1109/igarss.2015.7325886

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…A high resolution (< 2m) airborne system could complement a global coverage satellite system by analysing results from a smaller localised area. 1 The method for the fast SAR simulator is similar to a polar format algorithm in reverse. A 3D scene was specified containing information from the forest model (described in the previous section), including extinction.…”

Section: Fast Sar Simulatormentioning

confidence: 99%

“…We simulate multiple images based on what would be acquired by Leonardo's PicoSAR, building on previous studies where real InSAR was carried out with helicopter data. 1 By using helicopter data we were able to analyse the outcome of tomography from a less stable platform. Here we discuss if compressive sensing can aid X-band airborne tomography.…”

Section: Introductionmentioning

confidence: 99%

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Airborne X-band SAR tomography for forest volumes

2016

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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.

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Section: Fast Sar Simulatormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Airborne X-band SAR tomography for forest volumes

2016

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“…The group investigates the advantages of multidimensional radar imaging, which means the use of multi-frequency, multi-static, multi-aspect SAR [1], multiple channels, etc., to get more information of radar images and to enhance Automatic Target Recognition (ATR) in the end. Therefore, multiple nations with radar systems at L-band [2], X-band [3], Ka-band [4] and Wband [5]- [8] participated in these trials to collect SAR and GMTI data of a test site on several days within one week. The intention is to share and analyze the data together in the group to draw conclusions with respect to the different methods of data acquisition and processing.…”

Section: Introductionmentioning

confidence: 99%

First results of a joint measurement campaign with PAMIR-Ka and MIRANDA-94

Walterscheid

Berens

Caris

et al. 2020

2020 IEEE Radar Conference (RadarConf20)

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Fraunhofer FHR has participated in the international measurement campaign of the NATO research task group SET-250 with two airborne SAR systems in July 2019. The general objective of the trials was to investigate the use of multidimensional radar to increase the performance of radar imaging systems. The first system PAMIR-Ka is a multi-channel pulsed radar system operating at 34 GHz with a very high bandwidth of up to 8 GHz. The second system MIRANDA-94 is a multichannel frequency modulated continuous wave (FMCW) radar with up to 3 GHz at 94 GHz center frequency with a dual polarized antenna. The paper introduces the systems, explains the data collection, and presents first results with respect to multi-look, multi-frequency, multi-polarization, and multi-aspect radar imaging of a test site with military targets.

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