Classification Accuracy of Multi-Frequency and Multi-Polarization SAR Images for Various Land Covers

Turkar, Varsha; Deo, Rinki; Rao, Y. S.; Mohan, Shiv; Das, Anup

doi:10.1109/jstars.2012.2192915

Cited by 54 publications

(24 citation statements)

References 11 publications

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“…In this regard, airborne as well as space-borne remote sensing data particularly Synthetic Aperture Radar (SAR) data has shown promising results in crop monitoring and classification with reasonably high accuracy. While use of SAR backscatter coefficient in different polarizations and frequencies for crop identification and monitoring have been reported (Toan et al, 1989(Toan et al, & 1997Hoekman and Bouman, 1993;Kurosu et al, 1995;Schotten et al, 1995), using polarimetric scattering matrix that contains information about polarization amplitude as well as phase for crop characterization and classification has also been studied (Freeman et al, 1994;Skriver et al, 1999;Lee et al, 2001;Ainsworth et al, 2009;Haldar et al, 2012;Turkar, et al, 2012, Panigrahy et al, 2013. Attempted has also been made to establish relationships between polarization signatures of SAR signals to target properties (Ulaby et.…”

Section: Introductionmentioning

confidence: 99%

Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture

Haldar

Chakraborty

Manjunath

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Synthetic Aperture Radar (SAR) sensors have great potential for a wide range of agricultural applications, owing to their capability of all-weather observation. It is particularly useful in tropical regions in Asia where most of the crops are grown in rainy season. The use of SAR images for the assessment of rice-planted area is in operational stage in Asian countries owing to its characteristic temporal signature however, applications of SAR images for the estimation of biophysical plant variables are challenging, especially for crop scattering and discrimination in case of other tropical crops. Canopy geometry and architecture mainly govern the interaction of microwave signal with the vegetation. In this study evaluation of C-band SAR data at different polarization combinations in linear as well as circular polarimetric imaging modes for rabi crops and other associated landuse has been attempted. Also understanding the scattering response of various crops based on canopy architecture was attempted. The scattering parameters were found to vary for planofiles and erectophiles, partitioning of scattering and absorption were determined.

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Section: Introductionmentioning

confidence: 99%

Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture

Haldar

Chakraborty

Manjunath

et al. 2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…In this regard, airborne as well as space-borne remote sensing data particularly Synthetic Aperture Radar (SAR) data has shown promising results in crop monitoring and classification with reasonably high accuracy. While several authors have reported the use of SAR backscatter coefficient in different polarizations and frequencies for crop identification and monitoring [10][11][12][13][14], several others have reported using polarimetric scattering matrix that contains information about polarization amplitude as well as phase for crop characterization and classification [6,[15][16][17][18][19]. Some authors have attempted to establish relationships between polarization phase differences of SAR signals to target properties [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Temporal Polarization Phase Difference for Major Crops in India

Haldar¹,

Das²,

Yadav³

et al. 2014

PIER B

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Abstract-A polarimetric radar system measures the complete scattering matrix of a target in the backscattered field that includes magnitudes of linearly polarized scattering amplitudes and the copolarised and cross-polarised phase angles. Apart from backscattering intensity, the co-polarization phase difference (CPD) calculated from polarimetric synthetic aperture radar (SAR) data produces important information about target physical, geometrical and dielectric properties. In the present work, the distribution of CPD in C-band polarimetric SAR data corresponding to major kharif and rabi crops (denoting the monsoon and the winter season) and other land cover features have been studied over Central State Farm, Hisar, Haryana. The probability density functions (PDF) of CPD have been compared with dominant scattering contributions from these targets as obtained from polarimetric target decompositions. The results show that crops and other land cover features show characteristic CPD distributions, which relates well with crop physical and geometrical properties. An intuition of the rate of growth and plant vigour is indicative from the temporal PDF pattern.

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“…In this context, airborne as well as space-borne remote sensing data mainly Synthetic Aperture Radar (SAR) data has shown promising results in crop monitoring and classification with a very high accuracy. Backscatter coefficient (the differential scattering cross section per unit volume for a scattering angle of 180') of SAR data in different polarizations and frequencies for crop identification and monitoring have been reported (Toan et al, 1989(Toan et al, , 1997Hoekman and Bouman, 1993;Kurosu et al, 1995;Schotten et al, 1995), using polarimetric scattering matrix that contains information about polarization amplitude as well as phase for rice crop characterization and its classification has also been studied (Freeman et al, 1994;Skriver et al, 1999;Lee et al, 2001;Ainsworth et al, 2009;Haldar et al, 2012;Turkar et al, 2012, Panigrahy et al, 2013.…”

Section: Issn: 2319-7706 Volume 7 Number 04 (2018)mentioning

confidence: 99%

Rice Acreage Estimation Using Sentinel-1A Dual Polarised SAR Data in Udham Singh Nagar (Uttarakhand)

Bhatt¹,

Nain²

2018

Int.J.Curr.Microbiol.App.Sci

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Classification Accuracy of Multi-Frequency and Multi-Polarization SAR Images for Various Land Covers

Cited by 54 publications

References 11 publications

Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture

Role of Polarimetric SAR data for discrimination/biophysical parameters of crops based on canopy architecture

Analysis of Temporal Polarization Phase Difference for Major Crops in India

Rice Acreage Estimation Using Sentinel-1A Dual Polarised SAR Data in Udham Singh Nagar (Uttarakhand)

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