Categorization of the Glaciated Terrain of Indian Himalaya Using CP and FP Mode SAR

This paper presents the comparison between the potential of synthetic aperture radar (SAR) data in compact polarimetry (CP) versus the fully polarimetric POLSAR mode (FP) for glacier areas. The eigenvalue-based constructed parameters, decompositions and supervised classification schemes were used for this inter-comparison. The comparison is focused on compact polarimetric techniques versus full polarimetric techniques based on both of qualitative and quantitative analysis of the glaciated parameters extraction. Overall performance of CP mode is lower than FP mode for glaciated terrain parameter extraction. Furthermore, it was found over the part of rugged Gangotri glaciated terrain, Indian Himalaya that the reconstruction pseudo polarimetry data is erroneous and highly biased because of data sets do not satisfy the pseudo polarimetric reconstruction conditions in the glaciated terrain.

[1]  L. Tsang,et al.  Polarimetric signatures of a layer of nonspherical discrete scatterers overlying a homogeneous half‐space based on full multiple scattering vector radiative transfer theory , 1992 .

[2]  A. Skidmore,et al.  Comparing accuracy assessments to infer superiority of image classification methods , 2006 .

[3]  Yoshio Yamaguchi,et al.  Potential assessment of SAR in compact and full polarimetry mode for snow detection , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[4]  R. Keith Raney,et al.  Dual-polarized SAR and Stokes parameters , 2006, IEEE Geoscience and Remote Sensing Letters.

[5]  S. Cloude Polarisation: Applications in Remote Sensing , 2009 .

[6]  J. Kong Scattering of Electromagnetic Waves , 2021, Principles of Scattering and Transport of Light.

[7]  Eric Pottier,et al.  An entropy based classification scheme for land applications of polarimetric SAR , 1997, IEEE Trans. Geosci. Remote. Sens..

[8]  Jean-Claude Souyris,et al.  Compact polarimetry based on symmetry properties of geophysical media: the /spl pi//4 mode , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Marco Lavalle,et al.  Full and Compact Polarimetric Radar Interferometry for Vegetation Remote Sensing , 2009 .

[10]  R. Keith Raney,et al.  Hybrid-Polarity SAR Architecture , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[11]  Q. Mcnemar Note on the sampling error of the difference between correlated proportions or percentages , 1947, Psychometrika.

[12]  Sébastien Angélliaume,et al.  The Compact Polarimetry Alternative for Spaceborne SAR at Low Frequency , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Hao Chen,et al.  Compact Decomposition Theory , 2012, IEEE Geoscience and Remote Sensing Letters.

[14]  Gulab Singh,et al.  Application of incoherent target decomposition theorems to classify snow cover over the Himalayan region , 2012 .

[15]  Yoshio Yamaguchi,et al.  General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Eric Pottier,et al.  Estimation of Soil Moisture and Faraday Rotation From Bare Surfaces Using Compact Polarimetry , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[17]  Eric Pottier,et al.  Quantitative comparison of classification capability: fully polarimetric versus dual and single-polarization SAR , 2001, IEEE Trans. Geosci. Remote. Sens..

[18]  Stephen L. Durden,et al.  A three-component scattering model for polarimetric SAR data , 1998, IEEE Trans. Geosci. Remote. Sens..

[19]  Heather McNairn,et al.  Compact polarimetry overview and applications assessment , 2010 .

[20]  Hiroyoshi Yamada,et al.  Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix , 2011, IEEE Trans. Geosci. Remote. Sens..

[21]  Leung Tsang,et al.  Polarimetric Passive And Active Remote Sensing: Theoretical Modeling Of Random Discrete Scatterers And Rough Surfaces , 1990, 10th Annual International Symposium on Geoscience and Remote Sensing.

[22]  E. Pottier,et al.  Polarimetric Radar Imaging: From Basics to Applications , 2009 .

[23]  R. Keith Raney,et al.  The m-chi decomposition of hybrid dual-polarimetric radar data , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[24]  Jong-Sen Lee,et al.  Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery , 2009 .