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Haiming Qi

dblp:04/1255 · DBLP profile ↗
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6ranked-venue papers
2as first author
0since 2021 · last 2012
0000-0002-2126-1125ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 6 · 2 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.

Computer graphics and multimedia
2 papers
Image and video coding · 100%
Computer networks
1 paper
Wireless sensing and localization · 100%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 6 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video coding › image compression › remote sensing image compression
synthetic aperture radar data compression
0.322012
A universal adaptive vector quantization algorithm for space-borne SAR raw data · Sci. China Inf. Sci. 2012
A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability · Sci. China Inf. Sci. 2010
Image and video coding › quantization
vector quantization
0.112012
A universal adaptive vector quantization algorithm for space-borne SAR raw data · Sci. China Inf. Sci. 2012
Image and video coding
quantization noise
0.112010
A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability · Sci. China Inf. Sci. 2010
Wireless sensing and localization
radar signal processing
0.112008
Piecewise linear mapping algorithm for SAR raw data compression · Sci. China Ser. F Inf. Sci. 2008
Wireless sensing and localization › radar signal processing
synthetic aperture radar
0.112008
Piecewise linear mapping algorithm for SAR raw data compression · Sci. China Ser. F Inf. Sci. 2008
Coding theory › source coding
quantization
0.012010
A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability · Sci. China Inf. Sci. 2010

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

statistical model of quantization interval transfer probability · 0.2adaptive vector quantization · 0.1piecewise linear mapping · 0.1
YearPublicationVenuePosition
2012 A universal adaptive vector quantization algorithm for space-borne SAR raw data
Haiming Qi, Bin Hua, Wen Hong
Sci. China Inf. Sci.1
2011 An Internal Calibration Scheme for Polarimetric Synthetic Aperture Radar System
abstract
Two important aspects of internal calibration of polarimetric synthetic aperture radar are discussed, i.e., system gain calibration and individual transmit/receive module (TRM) calibration. System gain variation is measured, utilizing the internal calibration loop. A dual-channel TRM gain and phase calibration is carried out using orthogonal phase coding, where a signal of individual TRM is phase encoded according to a set of orthogonal codes in order to be separated from the composite calibration signal of all TRMs. Calibration results are developed both theoretically and through simulation in the case of TRM failure. Error introduced by phase-shifter toggling inaccuracy is discussed. A cross talk model is used to investigate the effect of imperfect isolation between the two polarization channels of each TRM on the calibration error.
Haiming Qi
IEEE Trans. Geosci. Remote. Sens.2
2010 A study of spaceborne SAR raw data compression error based on a statistical model of quantization interval transfer probability
Haiming Qi, Bin Hua
Sci. China Inf. Sci.2
2009 An Internal Calibration Scheme for Polarimetric Synthetic Aperture Radar System
abstract
Two important aspects of internal calibration of polarimetric Synthetic Aperture Radar (SAR) are discussed, that is, system gain calibration and individual Transmit/Receive Module (TRM) calibration. System gain variation is measured utilizing the internal calibration loop. Dualchannel TRM gain and phase calibration is carried out using Orthogonal Phase Coding (OPC), in which signal of individual TRM is phase-encoded according to a set of orthogonal codes in order to be separated from the composite calibration signal of all TRMs. Calibration results are developed both theoretically and through simulation in the case of TRM failure. A crosstalk model is used to investigate the effect of imperfect isolation between the two polarization channels of each TRM on the calibration error.
Haiming Qi
IGARSS (4)3
2009 Polarimetric SAR Internal Calibration Scheme Based on T/R Module Orthogonal Phase Coding
abstract
Two important aspects of internal calibration of polarimetric synthetic aperture radar (SAR) are discussed, i.e., individual transmit/receive module (TRM) calibration and system gain calibration. The system has a general structure utilizing a phased array antenna composed of dual-channel TRMs. TRM gain and phase calibration is carried out using orthogonal phase coding (OPC). The signal of the individual TRM is phase-encoded according to a set of orthogonal codes to be separated from the composite calibration signal. OPC uses 1 bit of a digital phase-shifter for encoding, without the need for additional encoding hardware. Performance of the method is examined. Calibration results are developed both theoretically and through simulation in case of TRM amplifier or phase-shifter failure. Zero-padding is used to eliminate calibration error of the first TRM. A crosstalk model is proposed to investigate the effect of imperfect isolation between the two polarization channels of each TRM, and a way to reduce this error is also given. At last, system path gain variation is measured utilizing the internal calibration loop. The OPC method has an accuracy of 0.2 dB for gain and better than 2deg for phase, with 10-dB signal-to-noise ratio and perfect isolation between the two polarization channels. The error due to imperfect isolation is usually small and can be ignored. The simple way to detect TRM malfunction is verified through simulation, and it is also in accordance with TerraSAR-X in-orbit calibration outcomes. The proposed OPC method is shown to be an effective way of internally calibrating TRMs of a phased array antenna.
Haiming Qi
IEEE Trans. Geosci. Remote. Sens.2
2008 Piecewise linear mapping algorithm for SAR raw data compression
Haiming Qi
Sci. China Ser. F Inf. Sci.1