The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part Bl. Beijing 2008
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of natural disasters has shown rapid increase. Examples of this
trend are related to floods, earthquakes, tsunamis, hurricanes
and forest fires (Tralli, et al., 2005). Methods and strategies
have to be developed to predict as well as to tackle the natural
disasters. It is shown that near-space does indeed offers a
significant opportunity for homeland security applications, and
no other way existed can provide similar effects. Issues have
been highlighted, but there are clear paths of future work such
as synchronization, signal detection, imaging algorithms and
motion compensation to overcome them. The concepts and
techniques investigated in this paper may be regarded as the
Phase I work towards promising near-space passive remote
sensing for homeland security applications. Although exploring
the potential of near-space passive remote sensing missions
requires significant work on many fronts, we are indeed
convinced the effort will be worth it.
ACKNOWLEDGEMENTS
This work was supported in part by the Open Fund of the Key
Laboratory of Ocean Circulation and Waves, Chinese Academy
of Sciences under Contract number KLOCAW0809; and
supported in part by the Open Fund of the Beijing Key Lab of
Spatial Information Integration and 3S Application, Peking
University under Contract number SIIBKL08-1-04.
REFERENCES
Baker, C. J. and Griffiths, H. D, 2005. Bistatic and multistatic
radar sensors for homeland security. Advances in with Security
Trouve, E., Vasile, G. and Gay, M., 2007. Combining airborne
photographs and spacebome SAR data to monitor temperate
ciers: potentials and limits. IEEE Transactions on Geoscience
and Remote Sensing 45, pp. 905-924.
Wang, W. Q., 2007. Application of near-space passive radar for
homeland security. Sensing and Imaging: An International
Journal 8, pp. 39-52.
He, X., Chemiakov, M. and Zeng,T., 2005. Signal detectability
in SS-BSAR with GNSS non-cooperative transmitter. IEE
Proceedings -Radar Sonar and Naivigation 152, pp. 124-132.
Tomme, E. B., 2005. The paradigm shift to effects-based space:
near - space as a common space effects enabler. http://www.
airpower.au.af.mil, access in Oct. 2006.
Kuang, K. and Jin, Y. Q., 2007. Bistatic scattering from a three-
dimensional object over a randomly rough surface using the
FDTD algorithm. IEEE Transactions on Antennas and
Propagation 55, pp. 2302-2312.
Wang, W. Q. and Cai, J. Y., 2007. A technique for jamming bi-
and multistatic SAR systems. IEEE Geoscience and Remote
Sensing Letters 4, pp. 80-82.
Li, G., Xu, J., Peng, Y.N. and Xia, X. G., 2007. Bistatic linear
antenna array SAR for moving target detection, location, and
imaging with two passive airborne radars. IEEE Transactions
on Geoscience and Remote Sensing 45, pp. 554-565.
SAR bistatic campaign: planning, data acquisition, and first
analysis of bistatic scattering behaviour of natural and urban
targets. IEE Proceedings -Radar Sonar and Navigation 153, pp.
214-223.
Wang, W. Q., Ding, C. B. and Liang, X. D., 2008. Time and
phase synchronization via direct-path signal for bistatic
synthetic aperture radar systems. IET Radar Sonar and
Navigation 2, pp. 1-11.
Wong, F.H. and Yeo, T.S., 2001. New application of nonlinear
chirp scaling in SAR data processing. IEEE Transactions on
Geoscience and Remote Sensing 39, pp. 946-953.
Weiß, M., 2002. A new transponder technique for calibrating
wideband imaging radars. Proc. of Europe Synthetic Aperture
Radar Conference, Germany, pp. 493-495.
Tralli, D.M., Blom, R.G., Zlotnicki, V., Donnellan, A. and
Evans, D.L., 2005. Satellite remote sensing of earthquake,
volcano,flood, landslide and coastal inundation hazards. ISPRS
Journal Photogrammetry Remote Sensing 59, pp. 185-198.
Applications, Ciocco, Italy, pp. 1-22.
Fernandez, P. D., Cantalloube, H., Vaizan, B., Krieger, G.,
Horn, R., Wendler, M. and Giroux, V., 2006. ONERA-DLR