Inversion of vegetation height from PolInSAR using complex least squares adjustment method

Science China Earth Sciences

Volumn 58, Issue 6, 2015, Pages 1018-1031

  Fu, HaiQiang ^a   Wang, ChangCheng ^a   Zhu, JianJun ^a   Xie, QingHua ^a   Zhao, Rong ^a  

^a CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

complex least squares adjustment; polarimetric SAR interferometry (PolInSAR); random volume over ground (RVoG); truncated singular value decomposition (T SVD); vegetation height inversion

Indexed keywords

INTERFEROMETRY; POLARIMETERS; RADAR; SINGULAR VALUE DECOMPOSITION; SYNTHETIC APERTURE RADAR; VEGETATION;

LEAST SQUARES ADJUSTMENTS; POLARIMETRIC SAR INTERFEROMETRY; RANDOM VOLUME OVER GROUNDS; TRUNCATED SINGULAR VALUE DECOMPOSITION; VEGETATION HEIGHT;

LEAST SQUARES APPROXIMATIONS;

DATA INVERSION; DECOMPOSITION ANALYSIS; INTERFEROMETRY; SYNTHETIC APERTURE RADAR; VEGETATION STRUCTURE;

EID: 84929835909     PISSN: 16747313     EISSN: 18691897     Source Type: Journal    
DOI: 10.1007/s11430-015-5070-1     Document Type: Article

References (20)

1. Balzter H, Rowland C S, Saich P. 2007. Forest canopy height and carbon estimation at Monks Wood National Nature Reserve using dual-wavelength SAR interferometry. Remote Sens Environ, 108: 224–239
2. Cloude S R, Papathanassiou K P. 1998. Polarimetric SAR interferometry. IEEE Trans Geosci Remote Sensing, 36: 1551–1565
3. Cloude S R, Papathanassiou K P. 2003. Three-stage inversion process for polarimetric SAR interferometry. Iee P-Radar Son Nav, 150: 125–134
4. Cloude S R. 2009. Polarization: Applications in Remote Sensing. London: Oxford University Press
5. Chen E X, Li Z Y, Pang Y, et al. 2007. Polarimetric synthetic aperture radar interferometry based mean tree height extraction technique. Sci Silvae Sin, 43: 66–70
6. Gama F F, Santos J R, Mura J C. 2010. Eucalyptus biomass and volume estimation using interferometric and polarimetric SAR data. Remote Sens, 2: 939–956
7. Luo H M, Li X W, Chen E X, et al. 2010. Analysis of forest backscattering characteristics based on polarization coherence tomography. Sci Chin Tech Sci, 53(Suppl I): 166–175
8. Johansson S, Nordebo S, Claesson I. 2002. Convergence analysis of a twin-reference complex least-mean-squares algorithm. IEEE Trans Speech Aud Proc, 10: 213–221
9. Li X W, Guo H D, Liao J J, et al. 2002. Inversion of vegetation parameters using spaceborne polarimetric SAR interferometry. J Remote Sens, 6: 424–429
10. Lee J S, Ainsworth T L. 2011. The effect of orientation angle compensation on coherency matrix and polarimetric target decompositions. IEEE Trans Geosci Remote Sensing, 9: 53–64
11. Lopezsanchez J M, Hajnsek I, Ballester J D. 2012. First demonstration of agriculture height retrieval with PolInSAR airborne data. IEEE Trans Geosci Remote Sensing, 9: 242–246
12. Lu X Y, Suo Z Y, Guo R, et al. 2013. S-RVoG model for forest parameters inversion over underlying topography. Electron Lett, 49: 1–2
13. Neumann M, Ferro-Famil L, Reigber A. 2010. Estimation of forest structure, ground, and canopy layer characteristics from mutibaseline polarimetric interferometric SAR data. IEEE Trans Geosci Remote Sensing, 48: 1086–1103
14. Papathanassiou K P, Cloude S R. 2001. Single-baseline polarimetric SAR interferometry. IEEE Trans Geosci Remote Sensing, 39: 2352–2362
15. Parks J, Kugler F, Papathanassiou K P, et al. 2007. Height estimation of boreal forest: Interferomrtic model-based inversion at L- and X-band versus HUTSCAT profiling scattermeter. IEEE Geosci Remote Sens Lett, 4: 466–470
16. Seymour M S, Cumming I G. 1994. Maximum likelihood estimation for SAR interferometry. IEEE Geosci Remote Sens International Symposium. 2272–2275
17. Simard M, Hensley S, Lavalle M, Dubayah R, et al. 2012. An empirical assessment of temporal decorrelation using the uninhabited aerial vehicle synthetic aperture radar over forested landscapes. Remote Sens, 4: 975–986
18. Treuhaft R N, Siqueira P R. 2000. Vertical structure of vegetated land surfaces from interferometric and polarimetric radar. Radio Sci, 35: 141–177
19. Wang Z J. 2003. Research on the regularization solutions of ill-posed problems in geodesy. Doctoral Dissertation. Beijing: Chinese Academy of Sciences
20. Williams M L. 2006. PolSARproSim: A coherent polarimetric SAR simulation of forests (version 1.0). http://earth.eo.esa.int/polsarpro/Manuals/PolSARproSim_Design.pdf