Results 211 to 220 of about 3,590 (264)

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.
S. Mermoz, S. Allain, M. Bernier, E. Pottier   +3 more
openaire   +1 more source

Superpixel-based PolSAR images change detection

2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR), 2015
Previous polarimetric synthetic aperture radar (PolSAR) images change detection methods are generally undertaken in the pixel scale, resulting in overlooking the semantic information. To solve this problem, this paper presents a superpixel-based PolSAR images change detection methods.
Lei Xie, Hong Zhang, Chao Wang, Meng Liu, Bo Zhang   +4 more
openaire   +1 more source

Target Polarimetric Decompositions of PolSAR Image

2021
Target polarimetric decomposition is one of the most important aspects of polarimetric microwave imaging. The objective of polarimetric decomposition is to express the polarimetric information of the target as a combination of many known objects, such as a plate, a dihedral, a helix, a line, and a sphere, so we can understand and analyze the scattering
Ruliang Yang, Bowei Dai, Lulu Tan, Xiuqing Liu, Zhen Yang, Haiying Li   +5 more
openaire   +1 more source

PolSAR image denoising using directional diffusion

2016 12th IEEE International Symposium on Electronics and Telecommunications (ISETC), 2016
We propose a novel directional diffusion method for denoising Polarimetric Synthetic Aperture Radar (PolSAR) images degraded by speckle noise. The method is developed using the Partial Differential Equations (PDE) formalism and it employs an edge detection function that takes as arguments the multiplicative gradient norm and locally adaptive thresholds.
Romulus Terebes, Monica Borda, Raul Malutan, Christian Germain, Lionel Bombrun, Ioana Ilea   +5 more
openaire   +1 more source

PolSAR image classification using discriminative clustering

2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP), 2017
This paper presents a novel unsupervised image classification method for polarimetric synthetic aperture radar (PolSAR) data. The proposed method is based on a discriminative clustering framework that explicitly relies on a discriminative supervised classification technique to perform unsupervised clustering. To implement this idea, we design an energy
Haixia Bi, Jian Sun, Zongben Xu
openaire   +1 more source

Fast topology preserving PolSAR image superpixel segmentation

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016
In this paper, we propose a fast PolSAR image superpixel segmentation method. This method takes a simple coarse-to-fine optimization technique to minimize a Markov-Random-Field (MRF) like energy function which integrates the Pol- SAR image statistic, spatial position and boundary smoothing.
Weiwei Guo, Zenghui Zhang, Juanping Zhao, Wenxian Yu   +3 more
openaire   +1 more source

ICA based PolSAR images speckle noise reduction

7'th International Symposium on Telecommunications (IST'2014), 2014
Multifrequency polarimetric Synthetic Aperture Radar (PolSAR) imagery provides a rich data set of an earth surface's single scene. These images are degraded by speckle noise as single PolSAR images. Moreover, the redundancies exist between different polarizations and bands. In this paper, Fast Fixed-Point Independent Component Analysis (Fixed-Point ICA)
Saeed Karimifar, Ali Parsayan
openaire   +1 more source

PolSAR image classification using generalized scattering models

2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), 2017
In this paper, we present a new model-based method for polarimetric synthetic aperture radar (PolSAR) image classification. The conventional single- and double-bounce scattering models do not have contributions on T 33 element of coherency matrix. The T 33 element of coherency matrix accounts for the cross-polarization power.
H. Maurya, R. K. Panigrahi
openaire   +1 more source

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, Bo Tang, Shuiying Cheng
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, Chao Wang, Lei Liu, Meng Liu   +4 more
openaire   +1 more source