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Dive into the research topics where Qiaoping Zhang is active.

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Featured researches published by Qiaoping Zhang.


international geoscience and remote sensing symposium | 2009

3D topography and forest recovery from an L-BAND single-pass airborne PolInSAR system

Bryan Mercer; Qiaoping Zhang; Marcus Schwaebisch; Michael Denbina

Polarimetric InSAR (PolInSAR) using repeat-pass L-Band has generated interest in recent years because of its potential for extraction of forest height and of bare-earth topography beneath the canopy. However temporal de-correlation remains a problem. In previous papers a single-pass system has been demonstrated which removes the temporal issue. In this paper we extend the single-pass PolInSAR work previously described and show results for forests in which tree height maps and corresponding DTMs have been generated and compared to lidar truth.


international geoscience and remote sensing symposium | 2012

Forest height estimation using single-pass dual-baseline L-Band PolInSAR data

Qiaoping Zhang; Yue Huang; Marcus Schwaebisch; Bryan Mercer; Ming Wei

Two SAR tomographic estimators, namely the Capon method and the MUSIC method, are combined for the purposes of tree top height estimation and ground elevation retrieval from the dual-baseline datasets acquired by an experimental single-pass fully polarimetric L-Band InSAR system. Over two test sites, the preliminary results demonstrate a better estimation performance than our previously published results [4,5] using established single-baseline PolInSAR retrieval approaches.


international geoscience and remote sensing symposium | 2008

Early Results using Single-Pass L-band Pol-InSAR

Marcus Schwäbisch; Sowmya Gopal; Bryan Mercer; Qiaoping Zhang; Ming Wei

The extraction of bio-and geophysical parameters by means of Pol-InSAR has gained a lot of interest in recent years. In particular, the exploitation of full quad-pol mode long wave-length (L-and P-band) data in combination with advanced theoretical models like the Random-Volume-over-Ground (RVoG) model has successfully been used to derive quantities like ground topography or tree height with impressive accuracy. However, to date all experiments (airborne and spaceborne) have been conducted in repeat-pass interferometry mode and thus, results have been suffering from two major limitations: temporal decorrelation and, in the airborne case, uncompensated motion errors. Both error sources can significantly reduce the usability of the acquired data, which is of importance especially if operationalmapping of large areas is being considered. This paper reports about first experiments with a single-pass airborne L-band quad-pol interferometer that has been implemented on Intermaps TopoSAR platform.


international geoscience and remote sensing symposium | 2010

Accurate focusing of single-pass airborne InSAR data at L-band

Marcus Schwäbisch; Bryan Mercer; Qiaoping Zhang; Wei Huang

Long wavelength airborne single-pass InSAR systems call for very accurate SAR focusing and motion compensation algorithms. We have analyzed 3 different techniques and evaluated their performance using real data acquired with an L-band single-pass interferometer in Canada. Time domain backprojection with terrain-dependent motion compensation shows the best performance with results close to the theoretically expected values.


international geoscience and remote sensing symposium | 2014

Forest height estimation using single-pass polarimetric SAR tomography at L-Band

Yue Huang; Qiaoping Zhang; Marcus Schwaebisch; Ming Wei; Bryan Mercer

This paper addresses the estimation of forest heights and its underlying ground topography by applying dual-baseline SAR tomographic techniques to single-pass L-Band PolInSAR data. In this paper the feasibiliy of this special single-pass tomographic configuration is demontrated over boreal forests at the test site of Edson inAlberta, Canada. The estimated ground topography and tree top heights are validated against LiDAR data.


international geoscience and remote sensing symposium | 2013

Tomographic analysis for boreal forests using single-pass L-band PolInSAR data

Yue Huang; Qiaoping Zhang; Marcus Schwaebisch; Ming Wei; Bryan Mercer

This paper addresses the estimation of forest heights and its underlying ground topography by applying dual-baseline SAR tomographic techniques to single-pass L-Band PolInSAR data. In this paper the feasibility of this special single-pass tomographic configuration is demontrated over boreal forests at the test site of Edson in Alberta, Canada. The estimated ground topography and tree top heights are validated against LiDAR data.


Archive | 2009

FOREST HEIGHT AND GROUND TOPOGRAPHY AT L-BAND FROM AN EXPERIMENTAL SINGLE-PASS AIRBORNE POL-INSAR SYSTEM

Bryan Mercer; Qiaoping Zhang; Marcus Schwaebisch; Michael Denbina; Shane Cloude


international radar symposium | 2013

Dual-baseline polarimetric SAR tomography for tree height estimation using single-Pass L-Band PolInSAR data

Yue Huang; Qiaoping Zhang; Marcus Schwaebisch; Ming Wei; Bryan Mercer


Synthetic Aperture Radar (EUSAR), 2010 8th European Conference on | 2010

Extraction of DTM Beneath Forest Canopy Using a Combination of X-Band InSAR and L-Band PolInSAR Data

Bryan Mercer; Qiaoping Zhang; Marcus Schwaebisch; Michael Denbina


Archive | 2018

Method and apparatus for enhancing 3D model resolution

Nathan Zachary Mercer; Stephen Charles Griffiths; Michael John Wollersheim; Trevor Roy Miller; Qiaoping Zhang

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Bryan Mercer

University of Edinburgh

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Ming Wei

University of Edinburgh

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Bryan Mercer

University of Edinburgh

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Sowmya Gopal

University of Edinburgh

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