91 results found
Li Y, Liu J, Jiang X, et al., 2019, Angular Superresol for Signal Model in Coherent Scanning Radars, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, Vol: 55, Pages: 3103-3116, ISSN: 0018-9251
Zheng G, Liu J, Yang J, et al., 2019, Automatically Locate Tropical Cyclone Centers Using Top Cloud Motion Data Derived From Geostationary Satellite Images, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol: 57, Pages: 10175-10190, ISSN: 0196-2892
Wan X, Liu JG, Li S, et al., 2019, Phase Correlation Decomposition: The Impact of Illumination Variation for Robust Subpixel Remotely Sensed Image Matching, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol: 57, Pages: 6710-6725, ISSN: 0196-2892
Liu J, Zheng G, Yang J, et al., 2019, Top Cloud Motion Field of Typhoon Megi-2016 Revealed by GF-4 Images, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol: 57, Pages: 4427-4444, ISSN: 0196-2892
Durston NE, Wan X, Liu WG, et al., 2019, Avian surface reconstruction in free flight with application to flight stability analysis of a barn owl and peregrine falcon, Journal of Experimental Biology, Vol: 222, ISSN: 0022-0949
Birds primarily create and control the forces necessary for flight through changing the shape and orientation of their wings and tail. Their wing geometry is characterised by complex variation in parameters such as camber, twist, sweep and dihedral. To characterise this complexity, a multi-view stereo-photogrammetry setup was developed for accurately measuring surface geometry in high resolution during free flight. The natural patterning of the birds was used as the basis for phase correlation-based image matching, allowing indoor or outdoor use while being non-intrusive for the birds. The accuracy of the method was quantified and shown to be sufficient for characterising the geometric parameters of interest, but with a reduction in accuracy close to the wing edge and in some localised regions. To demonstrate the method's utility, surface reconstructions are presented for a barn owl (Tyto alba) and peregrine falcon (Falco peregrinus) during three instants of gliding flight per bird. The barn owl flew with a consistent geometry, with positive wing camber and longitudinal anhedral. Based on flight dynamics theory, this suggests it was longitudinally statically unstable during these flights. The peregrine falcon flew with a consistent glide angle, but at a range of air speeds with varying geometry. Unlike the barn owl, its glide configuration did not provide a clear indication of longitudinal static stability/instability. Aspects of the geometries adopted by both birds appeared to be related to control corrections and this method would be well suited for future investigations in this area, as well as for other quantitative studies into avian flight dynamics.
Wan X, Liu J, Li S, et al., 2019, An Illumination-Invariant Change Detection Method Based on Disparity Saliency Map for Multitemporal Optical Remotely Sensed Images, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Vol: 57, Pages: 1311-1324, ISSN: 0196-2892
Li Y-L, Liu J, Jiang X, et al., 2019, COHERENT SIGNAL MODEL FOR ANGULAR SUPERRESOLUTION IN SCANNING RADAR IMAGING, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Publisher: IEEE, Pages: 2945-2948, ISSN: 2153-6996
Du S, Liu Y, Ye M, et al., 2018, Single image deraining via decorrelating the rain streaks and background scene in gradient domain, PATTERN RECOGNITION, Vol: 79, Pages: 303-317, ISSN: 0031-3203
Bi H, Liu J, Zhang B, et al., 2018, Baseline distribution optimization and missing data completion in wavelet-based CS-TomoSAR, SCIENCE CHINA-INFORMATION SCIENCES, Vol: 61, ISSN: 1674-733X
Liu J, Mason PJ, Bryant EC, 2018, Regional assessment of geohazard recovery eight years after the Mw7.9 Wenchuan earthquake: a remote-sensing investigation of the Beichuan region, International Journal of Remote Sensing, Vol: 39, Pages: 1671-1695, ISSN: 0143-1161
The earthquake of 12 May 2008 in Wenchuan County, Sichuan Province, China, devastated the entire Beichuan region. Sitting at the intersection of the Yingxiu-Beichuan and Pengguan faults, the region experienced seismic intensities of VIII–XI on the Liedu scale. High seismic intensity combined with inherent geomorphological and climatic susceptibility to slope failure resulted in widespread co-seismic geohazards (slope failures of various types), which decimated the region. The seismic characteristics of the Wenchuan earthquake and the co-seismic geohazard distribution in relation to various conditioning factors have previously been examined in depth. However, there has been a lack of regional assessment of temporal and spatial recovery from co-seismic geohazards. Triggered by the authors’ field observation of rapid recovery, this study presents a temporal series of geohazard maps, produced by manual interpretation of satellite imagery, to present an initial assessment of changes in geohazard occurrence in the Beichuan region since the Wenchuan earthquake. In particular, landscape recovery at the co-seismic geohazard sites, as indicated by re-vegetation, is analysed based on temporal/spatial characteristics of geohazard distribution, in relation to co-seismic deformation, distance from the rupture zone and slope angle. Eight years after the Wenchuan earthquake, the overall recovery stands at 65.48%, with approximately uniform annual rates of recovery at 13.45% a year between 2009 and 2011 and 10.56% a year between 2012 and 2016. Whilst co-seismic geohazards are concentrated on the hanging wall of the seismic fault, landscape recovery is more significant in the very highly deformed zone than in other areas. Recovery has been the greatest on slopes of <50° and peaks on 40°–50° slopes, where the area occupied by co-seismic geohazards was the largest. The block-slides and rock topples, which characterize high angle slopes, show much slower
Durston NE, Wan X, Liu JG, et al., 2017, High resolution three-dimensional surface measurements of birds of prey in gliding flight, Annual Meeting of the Society-for-Integrative-and-Comparative-Biology (SICB), Publisher: OXFORD UNIV PRESS INC, Pages: E250-E250, ISSN: 1540-7063
Wan X, Liu J, Yan H, et al., 2016, Illumination-invariant image matching for autonomous UAV localisation based on optical sensing, ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, Vol: 119, Pages: 198-213, ISSN: 0924-2716
Quan X, Zhang B, Liu JG, et al., 2016, An Efficient General Algorithm for SAR Imaging: Complex Approximate Message Passing Combined With Backprojection, IEEE Geoscience and Remote Sensing Letters, Vol: 13, Pages: 535-539, ISSN: 1558-0571
Bao Q, Han K, Lin Y, et al., 2016, Imaging method for downward-looking sparse linear array three-dimensional synthetic aperture radar based on reweighted atomic norm, JOURNAL OF APPLIED REMOTE SENSING, Vol: 10, ISSN: 1931-3195
Wan X, Liu J, Yan H, et al., 2016, 3D SUPER RESOLUTION SCENE DEPTH RECONSTRUCTION BASED ON SKYSAT VIDEO IMAGE SEQUENCES, 36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Publisher: IEEE, Pages: 6653-6656, ISSN: 2153-6996
Wan X, Liu JG, Yan H, 2015, The Illumination Robustness of Phase Correlation for Image Alignment, IEEE Transactions on Geoscience and Remote Sensing, Vol: 53, Pages: 5746-5759, ISSN: 0196-2892
Phase correlation (PC) is a well-established imagematching algorithm. It is robust to the variation of image contrastand brightness, but whether it is invariant to local illuminationchange, particularly sun angle change, is yet to be investigated.This paper presents our study to prove and demonstrate therobustness of illumination invariance of the PC algorithm viamathematical analysis and image matching experiments. First, a3-D space named slope-aspect-intensity (SAI) is proposed to characterizethe 3-D relationship between image intensity and terrainslope/aspect angles for a given illumination geometry. Based onthe SAI space, the mathematical relationship between PC crosspowerspectra and illumination direction (e.g., solar azimuth andzenith angles) is analyzed. The impact of illumination angle variationbetween two images for matching is then rigorously investigatedvia experiments using simulated terrain shading imagesfrom a digital elevation model and real optical images taken underdifferent sun illumination conditions. Our study confirms that PCis robustly invariant to illumination and therefore can achievereliable matching between images taken under different solarillumination conditions for various remote sensing applications.
Sun T, Liu JG, Shi Y, et al., 2015, Computational imaging from non-uniform degradation of staggered TDI thermal infrared imager, Optics Express, Vol: 23, Pages: 24572-24586, ISSN: 1094-4087
For the Time Delay Integration (TDI) staggered line-scanningthermal infrared imager, a Computational Imaging (CI) approach isdeveloped to achieve higher spatial resolution images. After a thoroughanalysis of the causes of non-uniform image displacement and degradationfor multi-channel staggered TDI arrays, the study aims to approach onedimensional(1D) sub-pixel displacement estimation and superposition ofimages from time-division multiplexing scanning lines. Under theassumption that a thermal image is 2D piecewise C2 smooth, a sparse-andsmoothdeconvolution algorithm with L1-norm regularization termscombining the first and second order derivative operators is proposed torestore high frequency components and to suppress aliasing simultaneously.It is theoretically and experimentally demonstrated, with simulation andairborne thermal infrared images, that this is a state-of-the-art practical CImethod to reconstruct clear images with higher frequency components fromraw thermal images that are subject to instantaneous distortion and blurring.
Zhao Y, Liu JG, Zhang B, et al., 2015, Adaptive Total Variation Regularization Based SAR Image Despeckling and Despeckling Evaluation Index, IEEE Transactions on Geoscience and Remote Sensing, Vol: 53, Pages: 2765-2774, ISSN: 1558-0644
Wan X, Liu J, Morgan GLK, et al., 2015, AUTOMATIC MARS ROVER DETECTION FROM MULTI-TEMPORAL HIRISE IMAGERY, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Publisher: IEEE, Pages: 3037-3040, ISSN: 2153-6996
Wu M-C, Liu J, Cosgrove J, et al., 2014, Modelling of Yingxiu-Seichuan fault zone based on refined DInSAR data of 2008 Wenchuan earthquake, TECTONOPHYSICS, Vol: 630, Pages: 193-207, ISSN: 0040-1951
Wu M-C, Liu JG, Mason PJ, 2013, Adaptive local kriging to retrieve slant-range surface motion maps of the Wenchuan earthquake, INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol: 34, Pages: 7589-7606, ISSN: 0143-1161
Sun T, Liu J, Yan H, et al., 2013, Super-resolution reconstruction based on incoherent optical aperture synthesis, OPTICS LETTERS, Vol: 38, Pages: 3471-3474, ISSN: 0146-9592
Liu Y, Cao X, Liu JG, 2013, Classification using distances from samples to linear manifolds, PATTERN ANALYSIS AND APPLICATIONS, Vol: 16, Pages: 417-430, ISSN: 1433-7541
Liu JG, Mason PJ, Yu E, et al., 2013, Earthquake damage zone GIS modelling: A modulation between co-seismic deformation and landslide susceptibility, Pages: 269-277
In mountainous regions, earthquake events are typical of naturally-occurring multiple hazards and are frequently the trigger for cascade effects which range from the destruction of the initial shock, to extensive and complex slope failures in the immediate, short and very long-term. The conventional seismic intensity zonationmethod cannot adequately characterise both the current damage level and long-term geohazards, while detailed information is critical in guiding postdisastermitigation and regional development. In studying themost severely damagedBeichuan area by the Mw7.9Wenchuan earthquake, we proceeded with a qualitative numerical method for earthquake damage zonemapping which is novel in its integration of the multi-variable GIS modelling of geohazard susceptibility with co-seismic deformation via amodulation. This new model, we call it earthquake damage, characterise not only the destruction immediately after an earthquake but also the potential for future damage as the consequences of the earthquake. © Springer-Verlag Berlin Heidelberg 2013.
Liu JG, Yan H, Morgan G, 2012, PCIAS Subpixel Technology, MEASUREMENT & CONTROL, Vol: 45, Pages: 207-211, ISSN: 0020-2940
Wu M-C, Liu J-G, Yan H, et al., 2012, Three-Dimensional Surface Displacement Map of The 2008 Wenchuan Earthquake Derived From Phase Correlation Sub-pixel Offset Method and Adaptive Local Kriging DInSAR Data, 2012 IEEE International Geoscience & Remote Sensing Symposium, Pages: 3899-3902
Yan H, Liu J-G, Morgan G, 2012, High Quality DEM Generation from PCIAS, 2012 IEEE International Geoscience & Remote Sensing Symposium (IGARSS2012), Pages: 4950-4953
Liu JG, Mason PJ, Yu E, et al., 2012, GIS modelling of earthquake damage zones using satellite remote sensing and DEM data, GEOMORPHOLOGY, Vol: 139, Pages: 518-535, ISSN: 0169-555X
Turner SA, Liu JG, Cosgrove JW, 2011, Structural evolution of the Piqiang Fault Zone, NW Tarim Basin, China, JOURNAL OF ASIAN EARTH SCIENCES, Vol: 40, Pages: 394-402, ISSN: 1367-9120
Bishop CA, Liu JG, Mason PJ, 2011, Hyperspectral remote sensing for mineral exploration in Pulang, Yunnan Province, China, INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol: 32, Pages: 2409-2426, ISSN: 0143-1161
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