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Wang Y.-J.,Wuhan University | Lv Z.-Y.,The First Institute of Photogrammetry and Remote Sensing | Huang L.,Wuhan University
Wuhan Ligong Daxue Xuebao/Journal of Wuhan University of Technology | Year: 2010

The current large-scale state of urban traffic congestion and imbalances are very serious problems now. With the development of Internet and its applications, complex urban traffic network map matching method and the trajectory-based traffic estimation parameter are designed, based on the internet of things multi-sensor object track data. time series smoothing and line algorithm for multi-sensor track data are designed, the urban traffic flow state space-time model based on the internet of things multi-sensor, multi-source material are established in the network sensor perception and response. Finally real-time streaming for urban traffic flow guidance and forecast for single-target tracking need are achieved based on this model.


Zhao S.,Wuhan University | Ran X.,Wuhan University | Fu J.,Wuhan University | Guo Q.,The First Institute of Photogrammetry and Remote Sensing
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2014

CE-1 carries two types of mapping equipments: CE-1 Lunar laser altimeter and three-line-array stereo camera. Laser altimeter collects accurate laser altimetry data over the Lunar surface, while stereo camera acquires high resolution three-line-array CCD images. By means of an inconsistency analysis of stereo image and laser altimeter data, the CE-1 Laser altimeter ranges are expected to be incorporated into the bundle adjustment as measurements to improve accuracy of CE-1 image photogrammetric reduction. An improved exterior orientation model is proposed in which exterior orientation line element interpolation model is established with the 3 order Lagrange polynomial and the attitude interpolation model is established using spherical linear interpolation of quaternion. Secondly, a bundle combined adjustment of CE-1 stereo camera image and laser altimeter data is developed and implemented in this paper. experiment results show that the bundle combined adjustment model is effective. ©, 2014, SinoMaps Press. All right reserved.


Zhang T.,The First Institute of Photogrammetry and Remote Sensing | Liu J.,The First Institute of Photogrammetry and Remote Sensing | Yang K.,China University of Mining and Technology | Luo W.,The First Institute of Photogrammetry and Remote Sensing | Zhang Y.,The First Institute of Photogrammetry and Remote Sensing
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2015

For the defect that harmonic analysis algorithm for hyperspectral image fusion(HAF) in image fusion regardless of spectral reflectance curves, the improved fusion algorithm for hyperspectral remote sensing image combined with harmonic analysis and Gram-Schmidt transform(GSHAF) is proposed in this paper. On the basis of completely retaining waveform of spectrum curve of fused image pixel, GSHAF algorithm can simplify hyperspectral image fusion to between the two-dimensional image by harmonic residual of each pixel spectral curve and high spatial resolution image. It is that the spectral curve of original hyperspectral image can be decomposed into harmonic residual, amplitude and phase, then GS transform with harmonic residual and high spatial resolution image, which can effectively amend spectral reflectance curve of fused image pixel. At last, this fusion image, harmonic amplitude and harmonic phase are inverse harmonic transformed. Finally, with Hyperion hyperspectral remote sensing image and ALI high spatial resolution image to analysis feasibility for GSHAF, then with HJ-1A and other satellite data to verify universality. The result shows that the GSHAF algorithm can not only completely retained the waveform of spectral curve, but also maked spectral reflectance curves of fused image more close to real situation. ©, 2015, SinoMaps Press. All right reserved.

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