Kunming Surveying and Mapping Institute

Kunming, China

Kunming Surveying and Mapping Institute

Kunming, China

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Huang L.,Kunming University of Science and Technology | Yu X.,Kunming Surveying and Mapping Institute | Zuo X.,Kunming University of Science and Technology
International Journal of Aerospace Engineering | Year: 2017

Due to the unmanned aerial vehicle remote sensing images (UAVRSI) within rich texture details of ground objects and obvious phenomenon, the same objects with different spectra, it is difficult to effectively acquire the edge information using traditional edge detection operator. To solve this problem, an edge detection method of UAVRSI by combining Zernike moments with clustering algorithms is proposed in this study. To begin with, two typical clustering algorithms, namely, fuzzy c -means (FCM) and K -means algorithms, are used to cluster the original remote sensing images so as to form homogeneous regions in ground objects. Then, Zernike moments are applied to carry out edge detection on the remote sensing images clustered. Finally, visual comparison and sensitivity methods are adopted to evaluate the accuracy of the edge information detected. Afterwards, two groups of experimental data are selected to verify the proposed method. Results show that the proposed method effectively improves the accuracy of edge information extracted from remote sensing images. © 2017 Liang Huang et al.


Huang L.,Kunming University of Science and Technology | Fang Y.,Kunming University of Science and Technology | Zuo X.,Kunming University of Science and Technology | Yu X.,Kunming Surveying and Mapping Institute
Journal of Sensors | Year: 2015

This paper presents a new automatic change detection method of multitemporal remote sensing images based on 2D-Otsu algorithm improved by Firefly algorithm. The proposed method is designed to automatically extract the changing area between two temporal remote sensing images. First, two different temporal remote sensing images were acquired through difference value method of remote sensing images; then, the 2D-Otsu threshold segmentation principles are analyzed and the optimal threshold of 2D-Otsu threshold segmentation method is figured out by using the Firefly algorithm, where the difference images are conducted with binary classification to obtain the changing category and the nonchanging category; finally, the proposed method is used to carry out change detection experiments on the two selected areas, where a variety of methods are compared. Experimental results show that the proposed method can effectively and quickly extract the changing area between the two temporal remote sensing images; thus, it is an effective method of change detection for remote sensing images. © 2015 Liang Huang et al.


Huang L.,Kunming University of Science and Technology | Chen Y.,Kunming Surveying and Mapping Institute | Zuo X.,Kunming University of Science and Technology | Fang Y.,Kunming University of Science and Technology | Yu X.,Kunming Surveying and Mapping Institute
Electronic Journal of Geotechnical Engineering | Year: 2013

This paper presents a novel approach to change detection in multi-temporal remote sensing images. This proposed approach exploits a fuzzy clustering analysis based on ant colony algorithm of the difference image aimed at recognizing useful information (change regions). The method is based on the following: (1) Image Filtering, the Original multi-temporal data were processed by Frost filter; (2) Image Comparison, difference image was obtained by an improved multiplying transform fusion (IMTF) method; (3) Bilateral Filtering, the false change information were eliminated by bilateral Filter in difference image; (4) Analysis of the difference image, the change regions were obtained by fuzzy clustering analysis based on ant colony algorithm in difference image. Experimental results obtained on multi-temporal remote sensing images acquired by the Terra satellite confirm the effectiveness of the proposed approach. © 2013 ejge.


Zhao Y.,Kunming University of Science and Technology | Fang Y.,Kunming University of Science and Technology | Ni S.,Kunming Surveying and Mapping Institute
WIT Transactions on Engineering Sciences | Year: 2014

The application in deformation monitoring with Georobot is becoming increasingly widespread. The traditional geometric leveling on foundation pit monitoring has low efficiency but large volume of tasks. Aiming at these limitations, the application of TCA2003 intelligentized total station on leveling using the intermediate method is introduced in this paper. The auto-monitoring and ATR function of TCA2003 total station instrument are used in precise trigonometric leveling. Through comparing the date of trigonometric leveling and geometric leveling with examples, the comparison showed that precise trigonometric leveling by TCA2003 total station will replace traditional third-grade leveling. © 2014 WIT Press.


Chen J.,Kunming University of Science and Technology | Fang Y.,Kunming University of Science and Technology | Li G.,Kunming Surveying and Mapping Institute | Xia Y.,Kunming University of Science and Technology
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | Year: 2013

With the rapid development of data acquisition technology, the precision of point cloud of target object becoming more and more sophisticated. It's possible to build a high accuracy virtual simulation of the real world with the high-density data, but for its modelling and analyzing, the time-consuming is also growing. In this study, the spatial mesh model built through point cloud is treated as the studied object, and a parallel algorithm of model simplification under the control of parameter is studied. The steps are as follows: first, the K-adjacency table is established according to the topology of spatial mesh points; second, the independent set of points is calculated; third, the header element in each item of K-adjacency is taken as the center point, the projection plane is calculated with its neighbour points, then the K value is calculated; forth, the original model is transformed into the K value space, and the feature distribution of the model is studied; fifth, the model is simplified with the K value compared with the input parameter, loops until meet the condition; finally, the experiment is carried on series of spatial meshes. It's proved that the algorithm not only can simplify the model effectively, but also the degree of distortion is also under the control.


Ni S.,Kunming Surveying and Mapping Institute | Ding R.,Kunming Urban Planning and Information Center
Procedia Engineering | Year: 2012

In this paper, we introduce the concept of (strong) set-valued homomorphism of an incline which is a generalization of ordinary (complete) congruence. We constructed generalized roughness, by means of a set-valued mapping, which is a generalization of the notion of roughness of an incline, and related properties are discussed. © 2011 Published by Elsevier Ltd.


Fei L.,Information Institute of Photogrammetry and Remote Sensing Yunnan | Guo Z.,Information Institute of Photogrammetry and Remote Sensing Yunnan | Ma B.,Kunming Surveying and Mapping Institute
Journal of Geomatics | Year: 2016

Yunnan Province is a plateau region, the projection plane transformational method used in the national geodetic plane coordinate system cannot meet the length deformation requirement, which is recommend to be less than 2. 5 cm/km. Using the scientific and technological achievement of Country-Engineering Coordinate System, we establish the strict transformational relation between the national and local coordinate systems. This paper describes the theory and technology of the Country-Engineering Coordinate System, as well as its application in Yunnan Province.

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