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Marine Oil Pollution Monitoring Based on a Morphological Attention U-Net Using SAR Images. [PDF]
Sensors (Basel)Chang L +4 more
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A Mobile Analytical Chemistry Workstation with a C4D Sensor for Rapid Detection of Organophosphates Under Field Conditions. [PDF]
Sensors (Basel)Wang Y +5 more
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An evaluation of PolSAR speckle filters
2009 IEEE International Geoscience and Remote Sensing Symposium, 2009Speckle suppression in PolSAR images is an important step for the extraction of meaningful information from PolSAR images, especially for homogeneous extended targets. It has been shown that insufficient noise filtering resulting in low equivalent number of look (ENL) values will increase bias on incoherent polarimetric parameters such as the Cloude ...
Samuel Foucher, Carlos López-Martínez
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The Influence of Distances in NLM Polsar Filters
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 20195112
Luís Gómez Déniz, Alejandro C. Frery
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A new change detector in PolSAR imagery
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Change detection is an important issue in many applications. In this study, we propose a new change detector for multi-temporal polarimetric synthetic aperture radar (SAR) images. The new detector is based on the optimization of polarimetric contrast minimization. The optimized solution of the contrast model is also given.
Junjun Yin 0001, Jian Yang 0011
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PolSAR Image Land Cover Classification Based on Hierarchical Capsule Network
Remote Sensing, 2021 Polarimetric synthetic aperture radar (PolSAR) image classification is one of the basic methods of PolSAR image interpretation. Deep learning algorithms, especially convolutional neural networks (CNNs), have been widely used in PolSAR image ...
Yongsheng Zhou, Fan Zhang, Jianda Cheng
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A four-component decomposition of POLSAR image
Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005Abstract : A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar images. The covariance matrix approach is used to deal with the non-reflection symmetric scattering case. This scheme includes and extends the three-component decomposition method dealing with the reflection symmetry condition that the co-pol and
Yoshio Yamaguchi +3 more
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Assessment of Model-Based Polsar Decompositions
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Model-based polarimetric decompositions are often used to generate scene classifications from polarimetric SAR imagery. The original Freeman-Durden model has been modified and improved upon multiple times over the past 2 decades. However, quantitative, in-depth analyses of these incoherent model-based decompositions have lagged in comparison.
Thomas L. Ainsworth +2 more
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Analysis of non-Gaussian POLSAR data
2007 IEEE International Geoscience and Remote Sensing Symposium, 2007In this paper we present a generalised Wishart classifier derived from a non-Gaussian model for polarimetric synthetic aperture radar (POLSAR) data. Our starting point is to demonstrate that the scale mixture of Gaussian (SMoG) distribution model is suitable for modelling POLSAR data.
Anthony Paul Doulgeris +2 more
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Polsar Terrain Classification Based on Denoising-CNN
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019Terrain classification plays an important role in understanding Polari- metric Synthetic Aperture Radar (PolSAR) image intuitively. In the process of classification, feature extraction is critical. However, the preprocess of speckle noise filtering affects the effectiveness of the feature extractor which influences the accuracy of classification ...
Yanhe Guo +5 more
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