SAR image reconstruction via incremental imaging with compressive sensing

MS Kang, JM Baek - IEEE Transactions on Aerospace and …, 2023 - ieeexplore.ieee.org
For synthetic aperture radar (SAR) imaging, the irregular loss of received data and the
nonuniformly under sampling yield the SAR azimuth ambiguity (SAA) resulting in the …

[HTML][HTML] Displacement prediction for long-span bridges via limited remote sensing images: An adaptive ensemble regression method

A Entezami, B Behkamal, C De Michele, S Mariani - Measurement, 2025 - Elsevier
Spaceborne remote sensing via synthetic aperture radar (SAR) images offers promising
solutions to long-term structural health monitoring by providing local displacement time …

An Intra-Class Ranking Metric for Remote Sensing Image Retrieval

P Liu, X Liu, Y Wang, Z Liu, Q Zhou, Q Li - Remote Sensing, 2023 - mdpi.com
With the rapid development of internet technology in recent years, the available remote
sensing image data have also been growing rapidly, which has led to an increased demand …

Sparse SAR Imaging and Doppler Rate Estimation for Azimuth Down-sampled Echo Data via Complex Approximated Message Passing

Z Zhu, H Bi, J Zhang, D Yu, W Hong… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Airborne synthetic aperture radar (SAR) systems are commonly susceptible to trajectory
deviations, resulting in distinct azimuth phase error in the collected echo. SAR autofocus …

Fast Solution of Scattering and Micro-Doppler Features from Moving Target Using a Tailored Shooting and Bouncing Ray Method

Y Xi, J Li, L Guo, W Meng, S Wen - Remote Sensing, 2023 - mdpi.com
In this paper, we present a tailored shooting and bouncing ray (SBR) method for the fast
solution of electromagnetic (EM) scattering from a moving target. And, the micro-Doppler …

Optimizing an Algorithm Designed for Sparse-Frequency Waveforms for Use in Airborne Radars

M Hou, W Xie, Y Xiong, H Li, Q Qu, Z Lei - Remote Sensing, 2023 - mdpi.com
Low-frequency bands are an important way to realize stealth target detection for airborne
radars. However, in a complex electromagnetic environment; when low-frequency airborne …

A Multilayer Joint Regularized Block Sparse Bayesian Algorithm with Space-Time Structured Prior Learning Function

H Wang, F Wang - IEEE Transactions on Geoscience and …, 2024 - ieeexplore.ieee.org
The structured sparse model incorporates dependencies among coefficients, and exploiting
intrablock correlations significantly enhances recovery performance. The reconstruction …

SenseLite: A YOLO-Based Lightweight Model for Small Object Detection in Aerial Imagery

T Han, Q Dong, L Sun - Sensors, 2023 - mdpi.com
In the field of aerial remote sensing, detecting small objects in aerial images is challenging.
Their subtle presence against broad backgrounds, combined with environmental …

Single Line-to-Ground Fault Type Multilevel Classification in Distribution Network Using Realistic Recorded Waveform

J Liu, C Li, Y Liu, J Sun, H Lin - Sensors, 2023 - mdpi.com
The further identification of fault types for single line-to-ground faults (SLGFs) in distribution
networks is conducive to determining the cause of grounding faults and formulating targeted …

A SqueeSAR Spatially Adaptive Filtering Algorithm Based on Hadoop Distributed Cluster Environment

Y Li, W Song, B Jin, X Zuo, Y Li, K Chen - Applied Sciences, 2023 - mdpi.com
Multi-temporal interferometric synthetic aperture radar (MT-InSAR) techniques analyze a
study area using a set of SAR image data composed of time series, reaching millimeter …