Results 81 to 90 of about 3,144 (202)

Median-mean line based collaborative representation for PolSAR terrain classification

, 2022
A collaborative representation (CR) based method is proposed for polarimetric synthetic aperture radar (PolSAR) data classification in this work. Although CR can well smooth the PolSAR data and remove the speckle noise but it may degrade the class ...
Maryam Imani
core   +1 more source

On ICA Based ICTD Classification of Polsar Data [PDF]

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
The Independent Component Analysis (ICA) has been recently introduced as a reliable alternative to identify canonical scattering mechanisms within PolSAR images. This paper addresses an important aspect for applying such methods on real data, namely statistical classification with ICA.
openaire   +2 more sources

Multiobjective Evolutionary Superpixel Segmentation for PolSAR Image Classification

Remote Sensing
Superpixel segmentation has been widely used in the field of computer vision. The generations of PolSAR superpixels have also been widely studied for their feasibility and high efficiency.
Boce Chu, Mengxuan Zhang, Kun Ma, Long Liu, Junwei Wan, Jinyong Chen, Jie Chen, Hongcheng Zeng   +7 more
doaj   +1 more source

Classification for Polsar image based on hölder divergences

The Journal of Engineering, 2019
(Dis)similarity measures play an important role in the interpretation of polarimetric synthetic aperture radar (PolSAR) images. Here, the authors introduce a kind of similarity measures for PolSAR images based on the concepts of Hölder pseudo-divergence ...
Ting Pan, Dong Peng, Xiangli Yang, Pingping Huang, Wen Yang   +4 more
doaj   +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

Artificial Intelligence applications in Noise Radar Technology

IET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 986-1001, July 2024.
Abstract Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application.
Afonso L. Sénica, Paulo A. C. Marques, Mário A. T. Figueiredo   +2 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

Unsupervised Classification for Polarimetric Synthetic Aperture Radar Images Based on Wishart Mixture Models

Leida xuebao, 2017
Unsupervised classification is a significant step inthe automated interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) images. However, determining the number of clusters in this process is still a challenging problem. To this end, we propose
Zhong Neng, Yang Wen, Yang Xiangli, Guo Wei   +3 more
doaj   +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

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