Results 41 to 50 of about 5,464 (214)

Classification of Segments in PolSAR Imagery by Minimum Stochastic Distances Between Wishart Distributions

, 2013
A new classifier for Polarimetric SAR (PolSAR) images is proposed and assessed in this paper. Its input consists of segments, and each one is assigned the class which minimizes a stochastic distance. Assuming the complex Wishart model, several stochastic
da Silva, Wagner Barreto, Freitas, Corina da Costa, Frery, Alejandro C., Sant'Anna, Sidnei João Siqueira   +3 more
core   +1 more source

Sensitivity of Polarimetric SAR Decompositions to Soil Moisture and Vegetation Over Three Agricultural Sites Across a Latitudinal Gradient

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The goal of this work is to assess the impact of polarimetric SAR decompositions for soil moisture retrieval, and identify the decomposition that performs best for varying vegetation covers and soil conditions.
Giovanni Anconitano, Marco Lavalle, Mario Alberto Acuna, Nazzareno Pierdicca   +3 more
doaj   +1 more source

Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance

, 2017
In this letter, we propose a novel technique for obtaining scattering components from Polarimetric Synthetic Aperture Radar (PolSAR) data using the geodesic distance on the unit sphere.
Bhattacharya, Avik, Frery, Alejandro C., Ratha, Debanshu   +2 more
core   +1 more source

Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry [PDF]

, 2019
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Mallorquí Franquet, Jordi Joan, Zhao, Feng   +1 more
core   +2 more sources

PolSAR Time Series Processing With Binary Partition Trees [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2014
This paper deals with the processing of polarimetric synthetic aperture radar (SAR) time series. Different approaches to deal with the temporal dimension of the data are considered, which are derived from different target characterizations in this dimension.
Alonso González, Alberto, López Martínez, Carlos, Salembier Clairon, Philippe Jean   +2 more
openaire   +3 more sources

TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification

Remote Sensing, 2022
Polarimetric synthetic aperture radar (PolSAR) image classification has achieved great progress, but there still exist some obstacles. On the one hand, a large amount of PolSAR data is captured.
Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li, Xiaoxue Qian   +4 more
doaj   +1 more source

Heterogeneous Clutter Model for High-Resolution Polarimetric SAR Data Processing [PDF]

, 2011
International audienceThis paper presents a new estimation scheme for optimally deriving clutter parameters with high resolution POLSAR data. The heterogeneous clutter in POLSAR data is described by the Spherically Invariant Random Vectors model.
Formont, Pierre, Ovarlez, Jean-Philippe, Pascal, Frédéric, Vasile, Gabriel   +3 more
core   +3 more sources

Image fusion techniqes for remote sensing applications [PDF]

, 2002
Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts.
Bruzzone, Lorenzo, Farina, Alfonso, Morabito, Francesco, Serpico, Sebastiano Bruno, Simone, Giovanni   +4 more
core   +1 more source

The Generalized Statistical Complexity of PolSAR Data

, 2014
This paper presents and discusses the use of a new feature for PolSAR imagery: the Generalized Statistical Complexity. This measure is able to capture the disorder of the data by means of the entropy, as well as its departure from a reference distribution.
Frery, Alejandro C., De Almeida, Eliana S., Rosso, Osvaldo A.   +2 more
openaire   +3 more sources

Fast Matrix Inversion and Determinant Computation for Polarimetric Synthetic Aperture Radar

, 2018
This paper introduces a fast algorithm for simultaneous inversion and determinant computation of small sized matrices in the context of fully Polarimetric Synthetic Aperture Radar (PolSAR) image processing and analysis.
Cintra, R. J., Coelho, D. F. G., Dimitrov, V. S., Frery, A. C.   +3 more
core   +1 more source