Results 51 to 60 of about 7,181 (241)

Polarimetric Synthetic Aperture Radar Speckle Filter Based on Joint Similarity Measurement Criterion

open access: yesRemote Sensing, 2023
Polarimetric Synthetic Aperture Radar (PolSAR) data is inherently characterized by speckle noise, which significantly deteriorates certain aspects of the quality of the PolSAR data processing, including the polarimetric decomposition and target ...
Fanyi Tang   +6 more
doaj   +1 more source

Optical images-based edge detection in Synthetic Aperture Radar images [PDF]

open access: yes, 2015
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by
Barrenechea, Edurne   +5 more
core   +2 more sources

Unsupervised PolSAR Change Detection Based on Polarimetric Distance Measurements and ConvLSTM Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Time-series PolSAR are capable for continuous change monitoring of natural resources and urban land-covers regardless of weather and lighting conditions.
Rong Gui   +4 more
doaj   +1 more source

The Generalized Statistical Complexity of PolSAR Data

open access: yes, 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.   +2 more
openaire   +3 more sources

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

open access: yesRemote 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   +4 more
doaj   +1 more source

Bias Correction and Modified Profile Likelihood under the Wishart Complex Distribution

open access: yes, 2014
This paper proposes improved methods for the maximum likelihood (ML) estimation of the equivalent number of looks $L$. This parameter has a meaningful interpretation in the context of polarimetric synthetic aperture radar (PolSAR) images.
Cintra, Renato J.   +2 more
core   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

POLSAR Image Classification via Clustering-WAE Classification Model

open access: yesIEEE Access, 2018
Considering the clustering algorithms could explore the label information automatically, this paper proposes a new method in terms of polarimetric synthetic aperture radar (POLSAR) image classification, which named a clustering-wishart-auto-encoder (WAE)
Wen Xie, Ziwei Xie, Feng Zhao, Bo Ren
doaj   +1 more source

HIERARCHICAL CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON STATISTICAL REGION MERGING [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Segmentation and classification of polarimetric SAR (PolSAR) imagery are very important for interpretation of PolSAR data. This paper presents a new object-oriented classification method which is based on Statistical Region Merging (SRM) segmentation ...
F. Lang, J. Yang, L. Zhao, D. Li
doaj   +1 more source

Classification of Complex Wishart Matrices with a Diffusion-Reaction System guided by Stochastic Distances

open access: yes, 2015
We propose a new method for PolSAR (Polarimetric Synthetic Aperture Radar) imagery classification based on stochastic distances in the space of random matrices obeying complex Wishart distributions.
Alvarez, Luis   +3 more
core   +1 more source

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