Submit Manuscript
Peer Review
Editor Work
- Home
-
Articles & Issues
-
Data
- Dataset of Radar Detecting Sea
- SAR Dataset
- SARGroundObjectsTypes
- SARMV3D
- 3DRIED
- UWB-HA4D
- LLS-LFMCWR
- FAIR-CSAR
- FUSAR
- MSAR
- SDD-SAR
- DatasetinthePaper
- SpaceborneSAR3Dimaging
- DatasetintheCompetition
- Sea-land Segmentation
- SAR-Airport
- Hilly and mountainous farmland time-series SAR and ground quadrat dataset
-
Report
-
Course
-
About
-
Publish
- Editorial Board
- Chinese
| Citation: | Yu Fan, Yuan Jie. A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)[J]. Journal of Radars, 2015, 4(5): 560-570. doi: 10.12000/JR15067
|
A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)
DOI: 10.12000/JR15067
-
Abstract
In this paper, we present a Modified Two-Scale Microwave (MTSM) scattering model to describe the scattering coefficient of naturally rough surfaces. The surface roughness is assumed to be Gaussian in the proposed model so that the surface height z(x, y) can be split into large- and small-scale components by the wavelet packet transform according to electromagnetic wavelength. We used the Kirchhoff Model(KM) and Small Perturbation Method (SPM) to estimate the backscattering coefficient of large- and small-scale roughness, respectively. The tilting effect caused by the slope of large-scale roughness was corrected when calculating the contribution of backscattering to small-scale roughness. The backscattering coefficient of the MTSM comprised the total backscattering contributions of surfaces with both scales of roughness. The MTSM was tested and validated using the Advanced Integral Equation Model (AIEM) for dielectric randomly rough surfaces. The accuracy of the MTSM showed favorable agreement with AIEM, both when the incident angle was less than 30 (i30) and when the surface roughness was small (ks=0.354).
-
References
[1] Valenzuela G R. Depolarization of EM waves by slightly rough surface[J]. IEEE Transactions on Antennas and Propagation, 1967, 15(4): 552-557.[2] Ulaby F T, Batlivala P, and Dobson M. Microwave backscatter dependence on surface roughness, soil moisture and soil texture: Part 1-Bare soil[J]. IEEE Transactions on Instrumentation and Measurement, 1978, 16(4): 286-295.[3] Jin Y Q. Theory and Method of Numerical Simulation of Composite Scattering from the Object and Randomly Rough Surface[M]. Beijing: Science Press , 2008: 5-15.[4] Beckmann P A and Spozzochino T. The Scattering of Electromagnetic Waves from Rough Surface[M]. New York: Macmillan Press, 1968: 20-35.[5] Fung A K. Theory of cross-polarized power returned from a random surface[J]. Applied Science Research, 1968, 18(1): 50-60.[6] Fung A K, Li Z, and Chen K S. Backscattering from a randomly rough dielectric surface[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(2): 356-369.[7] Wu T D, Chen K S, Shi J C, et al.. A transition model for the reflection coefficient in surface scattering[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(9): 2040-2050.[8] Wu T D and Chen K S. A reappraisal of the validity of the IEM model for backscattering from rough surface[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(4): 743-753.[9] Ulaby F T, Moore P K, and Fung A K. Microwave Remote Sensing, Vol Ⅱ: Microwave Remote Sensing Fundamentals and Radiometry[M]. London: Addison Wesley Publishing Company Press, 1981: 6-18.[10] Brown G S. Backscattering from a Gaussian distributed perfectly conducting rough surface[J]. IEEE Transactions on Antennas and Propagation, 1978, 26(3): 472-482.[11] Burrows M L. A reformulated boundary perturbation theory in electromagnetism and its application to a sphere[J]. Canadian Journal of Physics, 1967, 45(5): 1729-1743.[12] Wright J. A new model for sea clutter[J]. IEEE Transactions on Antennas and Propagation, 1968, 16(2): 217-223.[13] Burrows M L. On the composite model for rough surface scattering[J]. IEEE Transactions on Antennas and Propagation, 1973, 21(2): 241-243.[14] Mario L. Applied Stochastic Processes[M]. New York: John Wiley and Sons Press, 1996: 55-62.[15] Fang Z B. Stochastic Processes[M]. Beijing: Science Press, 2011: 10-25.[16] Beckmann P. Scattering by non-Gaussian surfaces[J]. IEEE Transactions on Antennas and Propagation, 1975, 21(2): 169-175.[17] Chui C K. An Introduction to Wavelets[M]. New York: Academic Press, 1992: 22-34.[18] Hilton M L, Jawerth B D, and Sengupta A. Compressing still and moving images with wavelets[J]. Multimedia System, 1994, 2(3): 218-227.[19] Nielsen N H and Wickerhauser M V. Wavelets and time-frequency analysis[J]. Proceedings of the IEEE, 1996, 84(4): 523-540.[20] Strang G and Nguyen T Q. Wavelets and Filter Banks[M]. Wellesley: Wellesley-Cambridge Press, 1996: 103-134.[21] Fung A K. Exact Scattering from a Known Randomly Rough Surface[M]. Switzerland: URSI Commission Press, 1974: 2-8.[22] Valenzuela G R. Theories for the interaction of electromagnetic and oceanic waves - a review[J]. Boundary-Layer Meteorology, 1978, 13(1): 61-85.[23] Jin Y Q. Remote Sensing Theory of Electromagnetic Scattering and Thermal Emission[M]. Beijing: Science Press, 1993: 87-102. Relative Articles
Cited by
Periodical cited type(0)
Other cited types(4)
-
Proportional views
- Publishing Ethics
- Journal Insights
- Abstracting & Indexing
- Peer Review Policies
- Guide for Authors
- Conference
- ISSN 2095-283X (Print)ISSN 2097-339X (Online)
- CN 10-1030/TN
- CODEN LXEUAO
About Journal
- Sponsor: China Radio Detection and Ranging Industry Association (CRIA)
- Phone: 010-58887062
- Email：radars@aircas.ac.cn
- Publisher: Leida Xuebao Bianjibu (Editorial office of the Journal of Radars)
Contacts Us
京ICP备20021838号-8
Supported by: Beijing Renhe Information Technology Co. Ltd
Export File
Citation
Yu Fan, Yuan Jie. A Modified Two-scale Microwave Scattering Model for a Dielectric Randomly Rough Surface(in English)[J]. Journal of Radars, 2015, 4(5): 560-570. doi: 10.12000/JR15067
DownLoad: