Results 81 to 90 of about 17,089 (164)

Dynamic compressed HRRP generation for random stepped-frequency radar based on complex-valued fast sequential homotopy. [PDF]

Sensors (Basel), 2014
You P, Liu Z, Wang H, Wei X, Li X.
europepmc   +1 more source

Computational burden resulting from image recognition of high resolution radar sensors. [PDF]

Sensors (Basel), 2013
López-Rodríguez P, Fernández-Recio R, Bravo I, Gardel A, Lázaro JL, Rufo E.   +5 more
europepmc   +1 more source

Segmentation of Oil Spills on Side-Looking Airborne Radar Imagery with Autoencoders. [PDF]

Sensors (Basel), 2018
Gallego AJ, Gil P, Pertusa A, Fisher RB.
europepmc   +1 more source

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Contrastive Learning for Radar HRRP Recognition With Missing Aspects

IEEE Geoscience and Remote Sensing Letters, 2023
High resolution range profile (HRRP) has attracted increasing attention in radar automatic target recognition (RATR). However, the target-aspect missing problem in noncooperative targets recognition, which is one of the most challenging tasks in RATR ...
Yue Huang, Xinghao Ding, Wei Lin
exaly   +3 more sources

Radar HRRP Open Set Recognition Based on Extreme Value Distribution

IEEE Transactions on Geoscience and Remote Sensing, 2023
Radar automatic target recognition (RATR) based on high-resolution range profile (HRRP) has attracted more attention in recent years. In fact, the actual application environment of RATR is open set environment rather than closed set environment. However,
Ganggang Dong, Hongwei Liu, Penghui Wang   +2 more
exaly   +3 more sources

One-Shot HRRP Generation for Radar Target Recognition

IEEE Geoscience and Remote Sensing Letters, 2022
Insufficient data of a noncooperative target seriously affect the performance of radar automatic target recognition (RATR) using the high-resolution range profile (HRRP), especially when the noncooperative target has only one sample. To this end, we propose an unsupervised data generation method to generate noncooperative HRRP signals.
Yi Wen, Yihong Zhuang, Yue Huang
exaly   +2 more sources

Radar HRRP target recognition with deep networks

Pattern Recognition, 2017
Abstract Feature extraction is the key technique for radar automatic target recognition (RATR) based on high-resolution range profile (HRRP). Traditional feature extraction algorithms usually utilize shallow architectures, which result in the limited capability to characterize HRRP data and restrict the generalization performance for RATR.
Bo Chen, Hongwei Liu
exaly   +2 more sources

Few-Shot Radar HRRP Recognition Based on Improved Prototypical Network

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
The high-resolution range profile (HRRP), with its compact vector expression and rich structural information, has become an essential part of radar automatic target recognition (RATR) systems.
Jixi Li, Dongying Li, Yong Jiang, Wenxian Yu   +3 more
semanticscholar   +2 more sources

An infinite classification RBM model for radar HRRP recognition

2017 International Joint Conference on Neural Networks (IJCNN), 2017
High resolution range profile (HRRP) recognition is a widely used technique in the radar automatic target recognition community. However, the recognition performance often suffers from aspect sensitivity and the unsuitable features designed in practical applications.
Xuan Peng, Xunzhang Gao, Xiang Li
semanticscholar   +2 more sources