Journal ArticleDOI
A New Chirp Scaling Algorithm for Highly Squinted Missile-Borne SAR Based on FrFT
TLDR
A new fractional chirp scaling algorithm (FrCSA) for highly squinted missile-borne SAR is proposed from high resolution point of view and results indicate that the FrCSA offers better focusing capabilities, greater peak sidelobe ratio (PSLR), and integrated sidelobe ratios (ISLR) by appropriately choosing the rotation angles for the range and azimuth fractional Fourier transform (FrFT).Abstract:
Since synthetic aperture technology was employed in radar signal processing, a lot of imaging algorithms have been developed for highly squinted synthetic aperture radar (SAR). However, the high-resolution imaging for highly squinted SAR data is still a difficult issue due to the large range migration and strong space-variant characteristic. To accommodate for this problem, a new fractional chirp scaling algorithm (FrCSA) for highly squinted missile-borne SAR is proposed from high resolution point of view in this paper. The performance of the FrCSA is compared to the classical CSA based on fast Fourier transform (FFT). Simulation and real data results indicate that the FrCSA offers better focusing capabilities, greater peak sidelobe ratio (PSLR), and integrated sidelobe ratio (ISLR) by appropriately choosing the rotation angles for the range and azimuth fractional Fourier transform (FrFT).read more
Citations
More filters
Journal ArticleDOI
Octree-based region growing for point cloud segmentation
TL;DR: Empirical studies show the proposed approach to be at least an order of magnitude faster when compared to a conventional region growing method and able to incorporate semantic-based feature criteria, while achieving precision, recall, and fitness scores of at least 75% and as much as 95%.
Journal ArticleDOI
Hyperspectral Anomaly Detection by Fractional Fourier Entropy
TL;DR: Fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method can significantly distinguish signal from background and noise, and is implemented in the optimal fractional domain.
Journal ArticleDOI
Hyperspectral image classification via contextual deep learning
Xiaorui Ma,Jie Geng,Hongyu Wang +2 more
TL;DR: This work proposes a feature learning algorithm, contextual deep learning, which is extremely effective for hyperspectral image classification and can achieve good performance with only a simple classifier.
Journal ArticleDOI
A New Imaging Algorithm for Forward-Looking Missile-Borne Bistatic SAR
TL;DR: An extended nonlinear chirp scaling (NLCS) algorithm for the forward-looking missile-borne bistatic SAR (FLMB-SAR) is proposed and the simulation results are exhibited to validate the correctness of the analysis and prove the two-dimensional (2-D) imaging ability of the FLMB- SAR.
Journal ArticleDOI
An Adaptive Fast Factorized Back-Projection Algorithm With Integrated Target Detection Technique for High-Resolution and High-Squint Spotlight SAR Imagery
TL;DR: target detection technique, which is used as a discrimination tool to retain the target pixels and reject the clutter and noise pixels, is integrated into the subaperture imaging chain during FFBP implementation, aiming to speed up the overall image formation time.
References
More filters
Journal ArticleDOI
The Fractional Order Fourier Transform and its Application to Quantum Mechanics
TL;DR: In this article, a generalized operational calculus is developed, paralleling the familiar one for the ordinary transform, which provides a convenient technique for solving certain classes of ordinary and partial differential equations which arise in quantum mechanics from classical quadratic hamiltonians.
Book
Time-Frequency Transforms for Radar Imaging and Signal Analysis
Victor C. Chen,Hao Ling +1 more
TL;DR: This work presents a meta-analysis of radar electronic backscattering radar signals radar ambiguity function and matched filter synthetic aperture radar imaging, which highlights the importance of time-frequency transforms for radar applications.
Journal ArticleDOI
Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation
Alberto Moreira,Yonghong Huang +1 more
TL;DR: In this article, a modified chirp scaling algorithm is proposed to accommodate the correction of motion errors, as well as the variations of the Doppler centroid in range and azimuth.
Proceedings Article
Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation
Alberto Moreira,Yonghong Huang +1 more
TL;DR: A new approach for high-resolution airborne SAR data processing is proposed, which uses a modified chirp scaling algorithm to accommodate the correction of motion errors, as well as the variations of the Doppler centroid in range and azimuth.
Journal ArticleDOI
Fractional Fourier transform as a signal processing tool: An overview of recent developments
TL;DR: This paper is geared toward signal processing practitioners by emphasizing the practical digital realizations and applications of the FRFT, which is closely related to other mathematical transforms, such as time-frequency and linear canonical transforms.
Related Papers (5)
Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation
Ian G. Cumming,F.H. Wong +1 more