The 2nd International Electronic Conference on Remote Sensing (ECRS 2018), 22 March–5 April 2018; Sciforum Electronic Conference Series, Vol. 2, 2018 Conference Proceedings Paper 1 PolInSAR Coherence Based Decomposition for 2 Scattering Characterization Of Urban Area 3 Awinash Singh 1 *, Shashi Kumar 2 and Kavita Jhajharia 1 4 1 Manipal University, Jaipur; awinash.singhkns27@gmail.com 5 1 Manipal University, Jaipur; kavita.Jhajharia@jaipur.manipal.edu 6 2 Indian Institute of Remote Sensing, Dehradun; shashi@iirs@gov.in 7 * Correspondence: awinash.singhkns27@gmail.com 8 Published: date 9 Academic Editor: name 10 Abstract: Polarimetric SAR data based scattering retrieval has been widely used to characterize 11 manmade and natural features. It has been found that PolSAR data has the capability to retrieve 12 scattering information contributed by different features within a small area or single resolution cell. 13 Generally, it has been found that the urban structures are contributing the high double-bounce 14 scattering, but due to closely spaced urban structure, multiple reflections of the SAR waves from the 15 walls of the buildings give the appearance of the volume scattering. The overestimation of volume 16 scattering from urban structure could be reduced by the adoption of interferometric coherence in 17 decomposition modeling. The urban buildings are considered as permanent scatterers which is 18 usually not affected by the temporal and volume decorrelation. Therefore, they show high coherence 19 magnitudes. The prime focus of this research was the implementation of PolInSAR coherence in the 20 decomposition modeling to minimize the overestimation of volume scattering from the urban 21 structure. This study has used the CoSSC product of the TanDEM-X mission. The results obtained 22 from PolInSAR coherence based decomposition modeling had shown the dominance of double 23 bounce scattering in the urban area for closely spaced structures also. 24 Keywords: Polarimetric SAR; PolInSAR; CoSSC, TanDEM-X, Urban structure 25 26 1. Introduction 27 A radar remote sensing technique, polarimetric interferometry when used with an imaging synthetic 28 aperture radar system is generally termed as Polarimetric SAR Interferometry i.e. PolInSAR [1]. It is 29 an advanced technique of radar remote sensing that integrates the advantages of both polarimetry 30 and interferometry and constitutes the full collection of polarimetric and interferometric information. 31 PolInSAR has number of applications such as forest-stand /tree height retrieval, agricultural height 32 estimation, crop parameter estimation, building parameter and building height estimation, forest 33 biomass estimation, forest parameter estimation and ground topography estimation etc. [2]. 34 Polarimetry associates with the switching of the polarisation state of transmit and receive channels 35 to measure differences in backscatter due to orientation, shape and material composition[3]. This 36 leads ultimately to measurement of the 2x2 complex scattering matrix [S], from which we can 37 incorporate the response of the image pixel to arbitrary polarisation combinations. Such radars are 38 termed S-matrix or Quadpol systems (since four channels are measured by the radar, usually all 39 possible combinations of horizontal and vertical linear polarisations HH, HV, VH and VV 40 respectively) [3]. The latter describes radar interferometry which involves in coherently combining 41 signals from two separated spatial positions (so called baseline of the interferometer) to extract a 42