Key Laboratory for Land Environment and Disaster Monitoring of SBSM

Tongshan, China

Key Laboratory for Land Environment and Disaster Monitoring of SBSM

Tongshan, China
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Wang J.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Gao J.-X.,State Key Laboratory of Coal Resources and Mine Safety | Xu C.-H.,State Key Laboratory of Coal Resources and Mine Safety
ICCSE 2010 - 5th International Conference on Computer Science and Education, Final Program and Book of Abstracts | Year: 2010

Modern teaching theory is presented in this paper and the discovery learning strategy is introduced into Surveying education. The concept of discovery learning is firstly discussed, and then the paper point out that the discovery learning is the inherent needs of the content of surveying. The teaching mode of Surveying based on discovery learning theory is proposed and analyzed with respect to specific teaching contents. At last, teaching and learning strategy is studied in four aspects: the strategy of question, the strategy of situation, the strategy of information and the strategy of homework. ©2010 IEEE.


Zhan Z.,Wuhan University | Zhan Z.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Lu L.,Wuhan University
Journal of Geomatics | Year: 2011

Possibility and task assignment method of image distortion correction based on GPU parallel processing technology are analyzed firstly. Then, the algorithm based on GPU is described in detail, which includes two parts: host-side and device-side. Results show that the presented method is feasible and high-efficient.


Jiang W.,Wuhan University | Yuan P.,Wuhan University | Tian Z.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Xiao Y.,Wuhan University
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | Year: 2014

In order to prevent the gaps in coordinate datum between different regional continuously operating reference systems (CORS), we analyze the causes and introduce a method for coordinate datum unification. Using experimental data from the Hubei and Hunan CORS, the results show that the systematic deviation reaches 17.9±4.5 mm between these two datums. The proposed method establishes a unified coordinate datum to eliminate the systematic deviation and builds connections between each coordinate datum. The validity of our method was supported by empirical evidence. Finally, some suggestions about coordinate datum unification for a regional CORS network combination are put forward.


Yang H.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Yang H.,China University of Mining and Technology | Zhang L.,China University of Mining and Technology | Yao G.,China University of Mining and Technology | And 2 more authors.
Cehui Xuebao/Acta Geodaetica et Cartographica Sinica | Year: 2012

A robust image registration algorithm is proposed, which includes the following two stages: (1) initial matching, SIFT matching method and the normalized cross correlation (NCC) metric modified with adaptive scale and orientation of SIFT features are proposed to find good initial matches, and the geometric consistency check is used to identify false matches; (2) matching propagation, a robust matching propagation using adaptive NCC and local homography constraint starts from the initial correspondences established in the first phase, and the geometrical consistency check is used simultaneously to eliminate the incorrect matches. By using matching propagation, control points used to image registration can be obtained as many as possible. Initial local homography is estimated using least squares matching algorithm and the initial values of unknown parameters needed for it is provided by adaptive NCC method. Compared to existing point-based image registration methods, the proposed algorithm has better performance in terms of registration accuracy and robustness to geometric deformations within images.


Yang H.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Yang H.,China University of Mining and Technology | Yao G.,China University of Mining and Technology | Wang Y.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Wang Y.,China University of Mining and Technology
Acta Geodaetica et Cartographica Sinica | Year: 2011

A novel multi-stage quasi-dense matching algorithm for wide base-line stereo images is introduced based on SIFT and dual constraints of epipolar geometry and homographie mapping. The proposed algorithm includes following three stages: 1 The optimal SIFT features with good spatial distribution and large information content are first selected, and matched by using the least squares matching method, then the fundamental and homographie matrix can be estimated by using these initial sparse correspondences with higher precision;2 For the other SIFT features, the affine transformation parameters between matching windows are iteratively optimized by using the slope angle of correspondent epipolar lines and scale information of SIFT features, and affine invariant feature descriptors are extracted from the corrected matching windows, then correspondences can be determined by Euclid distance and dual constraint information;3 Considering the lower repeatability rate of feature detection for wide base-line stereo images, for the unmatched points extracted from left and right images of stereo pairs, matching can be carried out by adopting two-way search strategy from left to right image or from right to left image based on the rapid SSD similarity cost function and affine rectified dual constraints region, and the least squares curve surface fitting weighted by Gaussian-distance algorithm is adopted to improve the precision of matching results. Test results using practical wide base-line image pairs indicate the proposed algorithm is effective and can provide reliable dense or quasi-dense matching points for subsequent 3D reconstruction.


Wang C.,Central South University | Wang C.,Key Laboratory for Land Environment and Disaster Monitoring of SBSM | Li Z.,Central South University | Zhu J.,Central South University | And 2 more authors.
Journal of Computational Information Systems | Year: 2011

In this paper, we introduce polarimetric information into traditional differential interferometry SAR technique to measure water level changes of river. The flooded forests make it possible to measure the water level changes because of strong energy backscattering from water-trunk structure. The polarimetric information can be used to distinguish flooded and non-flooded forest and improve interferometric coherence. We select two fully polarimetric ALOS PALSAR images over Tapajós river in Amazon floodplain to investigate the water level changes. After applying the polarimetric coherence optimization, we use the optimal interferogram to measure the water level changes. The results demonstrate that the optimal interferogram has much higher coherence than that of the HH interferogram, and thus produce more reliable measurement. © 2005 by Binary Information Press.


Shi B.,Tongji University | Shi B.,Shanghai Institution of Tourism | Liu C.,Tongji University | Sun W.,Tongji University | And 2 more authors.
2011 International Symposium on Image and Data Fusion, ISIDF 2011 | Year: 2011

An extended oscillatory correlation segmentation algorithm is complied to perform unsupervised scene segmentation for hyperspectral imagery(HSI). According to perceptual mechanism, the high variances associated with bright intensity values are just salient regions of scene. Instead of lateral potential, saliency map is hired to obtain self-excitable cell.Then hyperspectral imagery is segmentated by extended LEGION. With these steps, more accurate initial residential areas can be obtained, but with many deficiencies including the existence of holes and useless patches. To resolve these problems, a morphological space based method is used to dissolve these residential patches. Experiment on PHI-3 data demonstrates the utility of the algorithm for residential areas recognition. © 2011 IEEE.

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