Results 71 to 80 of about 2,421 (185)

Discussion on Application of Polarimetric Synthetic Aperture Radar in Marine Surveillance

Leida xuebao, 2016
Synthetic Aperture Radar (SAR), an important earth observation sensor, has been used in a wide range of applications for land and marine surveillance. Polarimetric SAR (PolSAR) can obtain abundant scattering information of a target to improve the ability
Zhang Jie, Zhang Xi, Fan Chenqing, Meng Junmin   +3 more
doaj   +1 more source

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

Ground moving target indication of polarimetric interferometric synthetic aperture radar using joint scattering vector

IET Radar, Sonar &Navigation, Volume 18, Issue 12, Page 2681-2697, December 2024.
SAR GMTI is of great importance for both civlisation and military applications. The clutter suppression performance is an important assurance for the accuracy and precision of GMTI. To achieve better clutter suppression performance, it often requires extremely precise registration of multi‐channel data, including polarization and interferometric ...
Jing Xu, Long Cheng, Chunhui Yu, Shiwei Zhang   +3 more
wiley   +1 more source

Orthogonal double V‐linear frequency modulation waveform for simultaneous polarimetric measurement and its non‐linear processing

IET Radar, Sonar &Navigation, Volume 18, Issue 10, Page 1919-1936, October 2024.
The authors propose a novel waveform, namely, the orthogonal double V‐linear frequency modulation (ODV‐LFM) and corresponding simultaneous polarimetric measurement and pointwise linear and non‐linear processing methods. The proposed waveform can mitigate the influence of delay‐Doppler coupling and reduce the risk of false targets and ghosts in multiple‐
Biao Shen, Runzhe Zhang, Ziyuan Yang, Tao Liu   +3 more
wiley   +1 more source

Sparse vegetation height estimation based on non‐local sample selection with generalised inner product

IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1106-1115, July 2024.
The manuscript mainly investigates the sparse distributed vegetation height inversion problem. By analysing the scattering mechanisms of the sparse distributed vegetation, the authors proposed a method to select the samples to estimate PolInSAR coherence and vegetation height in non‐local areas by using the amplitude‐normalised interferometric phase ...
Jing Xu, Long Cheng, Chao Xue, Zhiyong Suo   +3 more
wiley   +1 more source

Assessment of Pre‐ and Post‐Fire Fuel Availability for Wildfire Management Based on L‐Band Polarimetric SAR

Earth and Space Science, Volume 11, Issue 4, April 2024.
Abstract Many communities coexist with wildfires that lead to loss of lives, property, and ecosystem services. Remote sensing tools can aid disaster response and post‐event assessment, offering fire agencies opportunities for additional surveillance with radar, an all‐weather instrument that can image day or night.
Karen An, Cathleen E. Jones, Yunling Lou
wiley   +1 more source

Polarimetric Incoherent Target Decomposition by Means of Independent Component Analysis [PDF]

, 2015
International audienceThis paper presents an alternative approach for polarimetric incoherent target decomposition dedicated to the analysis of very-high resolution POLSAR images.
Besic, Nikola, Chanussot, Jocelyn, Stankovic, Srdjan, Vasile, Gabriel   +3 more
core   +3 more sources

A framework of rapid regional tsunami damage recognition from post-event TerraSAR-X imagery using deep neural networks [PDF]

, 2018
Near real-time building damage mapping is an indispensable prerequisite for governments to make decisions for disaster relief. With high-resolution synthetic aperture radar (SAR) systems, such as TerraSAR-X, the provision of such products in a fast and ...
Adriano, Bruno, Bai, Yanbing, Gao, Chang, Koch, Magaly, Koshimura, Shunichi, Mas, Erick, Singh, Sameer   +6 more
core   +1 more source

Semiparametric constant false alarm rate method for radar and sonar images

Electronics Letters, Volume 60, Issue 5, March 2024.
This study proposed a novel constant false alarm rate (CFAR) method based on Gaussian mixture model (GMM). The reason for starting this work is that some new polarimetric detectors and the high‐resolution cases may lead to the failure of traditional parametric model.
Ke Li, Peng Zhang, Ziyuan Yang
wiley   +1 more source

A novel self‐supervised ensemble learning framework for land use and land cover classification of polarimetric synthetic aperture radar images

IET Radar, Sonar &Navigation, Volume 18, Issue 3, Page 379-409, March 2024.
The designed SSELF can automatically extract PolSAR features conducive to PolSAR image classification with a small number of training samples. Also, the designed deep learning model can obtain the effective features of homogeneous samples gathering together and heterogeneous samples separating from each other in a self‐supervised manner.
Mohsen Darvishnezhad, Mohammad Ali Sebt
wiley   +1 more source