Unsupervised classification of scattering behavior using radar polarimetry data

Zyl, J.J. van

doi:10.1109/36.20273

Cited by 498 publications

(166 citation statements)

References 15 publications

Supporting

Mentioning

162

Contrasting

Unclassified

Order By: Relevance

“…Here we see high entropy due to volume scattering by the random components of the vegetation cover (as in equation 6). These observations are independent of the actual scene considered and hence have been suggested by several authors as suitable for robust unsupervised classification of land cover [3,4,5,13].…”

Section: Coherence and Entropymentioning

confidence: 99%

“…In comparison to conventional single-channel SAR, the inclusion of SAR polarimetry consequently can lead to a significant improvement in the quality of data analysis. Certain polarimetric scattering models even provide a direct physical interpretation of the scattering process, allowing an estimation of physical ground parameters like soil moisture and surface roughness [11], as well as unsupervised classification methods with automatic identification of different scatterer characteristics and target types [4,5].…”

Section: Radar Polarimetrymentioning

confidence: 99%

See 1 more Smart Citation

Polarimetric interferometry

Cloude¹

2009

Polarisation: Applications in Remote Sensing

View full text Add to dashboard Cite

This lecture presents the role of Polarimetry in SAR Interferometry. A general formulation for vector wave interferometry is presented that includes conventional scalar interferometry presented in the respective former lecture as a special case. Based on this formulation, the coherence optimization problem can be solved to obtain the optimum scattering mechanisms that lead to the best phase estimates. Comparison with conventional single-polarization estimates illustrates the significant processing gains that are possible if there is access to full polarimetric interferometric data. A comparison with conventional single-polarization presented in former lectures illustrates the significant processing gains that are possible if access to full polarimetric interferometric data is possible. The strong polarization dependence of the coherence will be addressed and the analytical solution for optimum polarization states that maximize the interferometric coherence will be derived and applied to experimental data. These improved interferogrammes allow an improvement of the accuracy of derived DEM products.The introduction of a new coherent decomposition theorem for interferometric applications based on the Singular value spectrum of a 3 x 3 complex matrix allows the decomposition of polarimetric interferometric problems into a set of coherent scattering mechanisms. As a consequence, it is possible to generate interferograms related to certain independent scattering mechanisms and extract the height differences between them. The limitation of this technique is the existence of independent scattering mechanisms located at different height positions.To explain the physical origin of these mechanisms, a coherent electromagnetic scattering model will be established which, additionally, can be used to establish the suitability of the decomposition algorithm for solving the problem of estimating the location of the effective scattering center, which is a critical point in the physical interpretation of interferograms. However, these introduction of Polarimetry in interferometric processing requires that fully coherent polarimetric data must be collected in order to separate the scattering mechanisms.. In this connection polarimetric Differential Interferometry will be considered also.The phase difference between the optimum interferograms obtained by the application of the algorithm on the SIR-C data turned out to be strongly correlated with the actual forest height. This was a major result indicating the potential of the coherent combination of polarimetry and interferometry. IntroductionPolarimetric SAR Interferometry was a first step in the abatement of the scattering ambiguity problem in the height direction. By combining interferometric and polarimetric techniques, it enables the separation of different scattering mechanisms within a resolution cell and at the same time, the estimation of the associated heights. Both, radar polarimetry and radar interferometry are phase sensitive techniques. The use of polarimetric...

show abstract

Section: Coherence and Entropymentioning

confidence: 99%

Section: Radar Polarimetrymentioning

confidence: 99%

Polarimetric interferometry

Cloude¹

2009

Polarisation: Applications in Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Additionally, the coefficient α and β are the parameters that can be estimated from some forest variables, such as trunk radius and tree number density. According VAN ZYL (1989), it enables us to identify the contribution of each scattering mechanism only from SAR polarization data, without any field data. Applying this technique we obtained the percent values of the scattering mechanisms over each of the sampled areas (ROI).…”

Section: Methodsmentioning

confidence: 99%

Análise dos parâmetros estruturais de tipologias florestais utilizando dados SAR em banda L

2010

View full text Add to dashboard Cite

The main objective of this work is the investigation of the relationship between the polarimetric L-band backscatter (σº) from different incidence angles (collected by the airborne sensor R99-B/SIPAM) and the structural parameters of the primary and secondary forest typologies. The area under study is located at the Tapajós National Forest and surroundings (Pará State, Brazil). Using the Freeman-Durden target decomposition technique, the basic backscatter mechanisms are presented to verify the contributions of the physiognomic-structural components of these forest stands in the L-band signal responses. As a conclusion, it is possible to verify that the variable "tree height" has better relations with the backscatter values, when compared to other structural variables, especially when the model also includes variations of the incidence angle of the stripes imaged. The Freeman-Durden decomposition technique indicates that the volumetric scattering component has the strongest influence on the L-band at primary and secondary tropical forests at incidence angles between 52 and 70 degrees, mainly due to the high incidence angle and, consequently the low depth vertical penetration. Keywords: Forest Inventory; L-Band; SAR Data; Mapping; Tropical Forest; Amazon.Bol. Ciênc. Geod., sec. Artigos, Curitiba, v. 16, n o 3, p.475-489, jul-set, 2010.Analysis of structural parameters of forest typologies using ... 4 7 6 RESUMO O objetivo principal desse trabalho é investigar a relação entre o retroespalhamento (σ°) de dados SAR polarimétricos de banda L, em diferentes ângulos de incidência (coletado pelo sensor aerotransportado R99-B/SIPAM) e os parâmetros estruturais de sítios de floresta primária e sucessão secundária. A área selecionada para esse estudo está localizada na região da Floresta Nacional do Tapajós (Estado do Pará, Brasil) e áreas circunvizinhas. É utilizada a técnica de decomposição de alvos de Freeman-Durden na avaliação dos mecanismos básicos de espalhamento, para verificar a contribuições das componentes fisionômico-estruturais dos alvos florestais na resposta-radar de banda L. Como conclusão, é possível verificar que a variável "altura das árvores" teve melhor relação com os valores de retroespalhamento, quando comparado com outras variáveis biofísicas, especialmente quando o modelo também incluiu variações do ângulo de incidência na direção em range. A técnica de decomposição de Freeman-Durden indicou que a componente volumétrica de espalhamento tem uma forte influência na resposta em banda L para florestas tropicais primárias e secundárias,em ângulos de incidência entre 52 e 70 graus, devido principalmente ao elevado ângulo de incidência e, consequentemente a baixa profundidade de penetração vertical da onda incidente.

show abstract

“…The polarimetric expression of temporal coherence is introduced in (16). Similar to standard StaMPS, there is an iterative process to estimateφ opt-int,x,k , which is substituted by the spatially correlated phase of int−1,x,k in the first iteration.…”

Section: Temporal Coherence Optimization In Polstampsmentioning

confidence: 99%

A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization

Sadeghi

Zoej

Hooper

et al. 2018

IEEE Trans. Geosci. Remote Sensing

View full text Add to dashboard Cite

Abstract-While polarimetric persistent scatterer InSAR (PSI)is an effective technique for increasing the number and quality of selected PS pixels, existing methods are suboptimal; a polarimetric channel combination is selected for each pixel based either on amplitude, which works well only for high-amplitude scatterers such as man-made structures, or on the assumption that pixels in a surrounding window all have the same scattering mechanism. In this paper, we present a new polarimetric PSI method in which we use a phase-based criterion to select the optimal channel for each pixel, which can work well even in nonurban environments. This algorithm is based on polarimetric optimization of temporal coherence, as defined in the Stanford Method for PS (StaMPS), to identify the scatterers with stable phase characteristics. We form all possible copolar and crosspolar interferograms from the available polarimetric channels and find the optimum coefficients for each pixel using defined search spaces to optimize the temporal coherence. We apply our algorithm, PolStaMPS, to an area in the Tehran basin that is covered primarily by vegetation. Our results confirm that the algorithm substantially improves on StaMPS performance, increasing the number of PS pixels by 48%, 80%, and 82% with respect to HH+VV, VV, and HH channels, respectively, and increasing the signal-to-noise ratio of selected pixels.Index Terms-Polarimetric persistent scatterer InSAR (PSI), Stanford Method for PS (StaMPS), temporal coherence.

show abstract

Unsupervised classification of scattering behavior using radar polarimetry data

Cited by 498 publications

References 15 publications

Polarimetric interferometry

Polarimetric interferometry

Análise dos parâmetros estruturais de tipologias florestais utilizando dados SAR em banda L

A New Polarimetric Persistent Scatterer Interferometry Method Using Temporal Coherence Optimization

Contact Info

Product

Resources

About