Results 71 to 80 of about 11,244,032 (159)
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 +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
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
Fully Polarimetric SAR Image Filtering by Combining Block Matching and Lee Filter
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSpeckle filtering is a key preprocessing approach for the applications of polarimetric synthetic aperture radar (PolSAR) data. Most current PolSAR filtering algorithms can hardly get good balance in suppressing speckle and retaining image details.
Guisheng Zhao, Shengyuan Zhu, Yinglei Wu
doaj +1 more source
Semi-supervised PolSAR Image Classification Based on the Neighborhood Minimum Spanning Tree
Leida xuebao, 2019 In this paper, a novel semi-supervised classification method based on the Neighborhood Minimum Spanning Tree (NMST) is proposed to solve the Polarimetric Synthetic Aperture Radar (PolSAR) terrain classification when labeled samples are few. Combining the
HUA Wenqiang +3 more
doaj +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
Object-Oriented Unsupervised Classification of PolSAR Images Based on Image Block
, 2022 Land Use and Land Cover (LULC) classification is one of the tasks of Polarimetric Synthetic Aperture Radar (PolSAR) images’ interpretation, and the classification performance of existing algorithms is highly sensitive to the class number, which is ...
Zheng Cheng, Binbin Han, Ping Han
core +1 more source
Semantic segmentation of PolSAR image data using advanced deep learning model. [PDF]
Sci Rep, 2021 Garg R +4 more
europepmc +1 more source
Sparse Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification
, 2018 Features play an important role in the learning technologies and pattern recognition methods for polarimetric synthetic aperture (PolSAR) image interpretation.
Bo Ren, Jin Zhao, Licheng Jiao, Biao Hou
core +1 more source
Remote SensingLand cover classification using high-resolution Polarimetric Synthetic Aperture Radar (PolSAR) images obtained from satellites is a challenging task. While deep learning algorithms have been extensively studied for PolSAR image land cover classification,
Yangyang Wang +3 more
doaj +1 more source