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Jinbin Fu

dblp:185/9081 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Video understanding and tracking · 100%
Theoretical computer science
1 paper
Information theory · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › multi-object tracking
multiple hypothesis tracking
0.212016
Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test · Sci. China Inf. Sci. 2016
Information theory › statistical inference › sequential analysis › sequential detection
sequential probability ratio test
0.112016
Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test · Sci. China Inf. Sci. 2016

Methods — techniques the papers use, named apart from their topics

shiryayev sequential probability ratio test · 0.5
YearPublicationVenuePosition
2017 L1/2 regularization based azimuth resolution enhancement for multi-channel radar forward-looking imaging
abstract
When the airborne or missile borne radar works at the forward-looking imaging mode, the common techniques for improving azimuth resolution are invalid, because the difference between the Doppler frequencies of targets in different azimuths is very small. Meanwhile, other real beam sharpening methods only have very limited effect on azimuth resolution enhancement. For the problem of forward-looking imaging of ship targets at sea surface, a L1/2regularization based azimuth resolution enhancement algorithm is proposed in this paper. This algorithm can make full use of the obvious sparsity in the imaging area. The linear observation signal model for forward-looking imaging is built, and the iterative calculation process of L1/2regularization and the detailed steps of multi-channel radar forward-looking imaging are provided in this paper. Finally, the effectiveness of the proposed algorithm is tested and verified with simulation data and real data.
Jinping Sun, Xuwang Zhang, Jinbin Fu, Jun Wang 0041
IGARSS4
2017 Wavenumber domain imaging algorithm for hypersonic platform SAR with curved trajectory
abstract
As a new application platform of synthetic aperture radar (SAR), the near-space hypersonic vehicle has a more serious range migration problem than the traditional airborne platform due to its curved-flight motion characteristic, and its imaging results will be further affected under the condition of high resolution demand. Since the SAR slant range of hypersonic platform is relatively complicated, the azimuth and range in the two-dimensional spectrum obtained by means of traditional wavenumber domain imaging algorithm are mutually coupled. As a result, it is difficult to accurately correct the range migration by interpolation operation. Therefore, an improved wavenumber domain imaging algorithm is proposed in this paper. Through the appropriate approximation of the two-dimensional spectrum of the SAR echo signal, the reference function is designed and the well focus of targets in the observation scene is achieved by the Stolt interpolation. Finally, simulation results are given to verify the effectiveness of the algorithm.
Jinping Sun, Jinbin Fu, Jun Wang 0041
IGARSS3
2016 Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test
Jinbin Fu, Jinping Sun, Songtao Lu, Yingjing Zhang
Sci. China Inf. Sci.1