Results 131 to 140 of about 505 (177)

Survey on Context-Aware Radio Frequency-Based Sensing. [PDF]

Sensors (Basel)
Casmin E, Oliveira R.
europepmc   +1 more source

Flood change detection model based on an improved U-net network and multi-head attention mechanism. [PDF]

Sci Rep
Wang F, Feng X.
europepmc   +1 more source

MASA-SegNet: A Semantic Segmentation Network for PolSAR Images

Remote Sensing, 2023
Semantic segmentation of Polarimetric SAR (PolSAR) images is an important research topic in remote sensing. Many deep neural network-based semantic segmentation methods have been applied to PolSAR image segmentation tasks. However, a lack of effective means to deal with the similarity of object features and speckle noise in PolSAR images exists ...
Jing Wu, Mantao Wang, Zhaonan Tian
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A four-component decomposition of POLSAR image

Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05., 2005
Abstract : 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, Motoi Ishido, Hiroyoshi Yamada, Toshifumi Moriyama   +3 more
openaire   +2 more sources

On the Use of Span Image in Polsar Speckle Filtering

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
The use of the span as a reference image in PolSAR speckle filtering is investigated. It has been demonstrated in this study that span reduced the speckle noise in extended homogeneous areas differently, degraded the spatial details and distorted the filtered intensity image. Then, the impact of span on the filtered PolSAR images is evaluated.
Mohamed Yahia, Tarig Ali, Mohammad Maruf Mortula, Riadh Abdelfattah, Samy Elmahdi   +4 more
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River Ice Mapping from PolSAR Images

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, 2008
This paper presents different mapping algorithms to discriminate river ice types using full-polarized C-band and dual-polarized X-band data. Field data are conjointly used with an electromagnetic river ice model to simulate backscattering response of river ice. Finally different classifications, proposed and tested, show encouraging results.
Stephane Mermoz, Sophie Allain, Monique Bernier, Eric Pottier   +3 more
openaire   +1 more source

Riemannian sparse coding for classification of PolSAR images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Hermitian positive definite (HPD) covariance matrices form one of the most widely-used data representations in PolSAR applications. However, most of these applications either use statistical distribution models on the PolSAR covariance matrices or polarimetric target decomposition. In this paper, we study HPD matrices for PolSAR image classification in
Wen Yang 0001, Neng Zhong, Xiangli Yang, Anoop Cherian   +3 more
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Faint Ship Wake Detection in PolSAR Images

IEEE Geoscience and Remote Sensing Letters, 2018
Focusing on the faint turbulent wake detection in polarimetric synthetic aperture radar (PolSAR) images, this letter introduces a novel two-step (coarse and fine processing) detector. Based on the polarization decomposition theory, a new parameter that enhances the contrast between wake and sea, which is called surface scattering randomness (SSR), is ...
Zhou Xu 0002, Bo Tang 0002, Shuiying Cheng   +2 more
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Unsupervised learning rules for POLSAR images analysis

Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2003
It has been shown (see Chitroub, S. et al., Signal Processing, vol.82, no.1, p.69-92, 2002) that the model for POLSAR (polarimetric synthetic aperture radar) images is a mixture model that results from the product of two distributions, one characterizes the target response and the other characterizes the speckle phenomenon.
Salim Chitroub, Amrane Houacine, Boualem Sansal   +2 more
openaire   +1 more source

Wastewater plumes detection based on PolSAR images

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
Coastal discharge plume is one of the most important pollution hazards for the heavily polluted estuaries in Shenzhen, China. Due to their dynamic and episodic nature, these pollutions are difficult to sample adequately using traditional in situ measurement methods.
Ying Deng, Hong Zhang 0001, Chao Wang 0004, Lei Liu 0017, Meng Liu 0005   +4 more
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