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The ground class remote sensing image feature retrieval database management system design and establish

Author: HuangLiMing
Tutor: FangYuanMin；WuLiMin
School: Kunming University of Science and Technology
Course: Geological Engineering
Keywords: Land survey Remote sensing image Sample data Retrieval Classification
CLC: P237
Type: Master's thesis
Year: 2009
Downloads: 31
Quote: 0
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Abstract


Ground class remote sensing image is characterized by a representative of remote sensing images to characterize a feature the main type pixels constitute, intuitively reflect the spectral characteristics of the different feature types and texture features. Through the establishment of ground class remote sensing image feature retrieval library, inspectors according to the conditions of the verification region's topography, geomorphology, natural and geographical factors as well as the sensor type, imaging season from the system automatically retrieves the land class image samples under the appropriate conditions, with submit the results of the control, so as to make an objective judgment on the accuracy of the survey results. The same time, the establishment of the ground class remote sensing image feature retrieval library can also play an important role in the future of the land survey work. Utilization classification criteria, in accordance with the land on the basis of the existing remote sensing images, combined with the key areas, the actual situation of the focus of the class, collect and build based phase, class image characteristics of different sensors, different resolutions, different terrain conditions retrieval library, development of flexible and efficient query retrieval and analysis capabilities of the management system, for the second national land survey results verification interpretation of land type basis to provide a reference for Land Use Interpretation. Ground-class remote sensing image feature retrieval library system is the remote sensing images obtained by satellite ground receiving station or mobile receiving station, site images and real images, combined with the database storage, management, retrieval operations, according to the terrain, sensors, imaging phase, Quick Search feature type and other factors, and services in the second national land survey work image interpretation and the results of the verification task. Surface coverage of remote sensing science-based monitoring technology, the basis of the second national land survey workflow, deepening land type remote sensing image feature retrieval service needs, strengthen top-level design class remote sensing image feature retrieval system, become adapt second national land survey work needs of the application system. Combined with the characteristics of the data management and retrieval applications, system partitioning and functional partitioning of reasonable structure, so that both meet the class of remote sensing image management, and utility systems to meet the second national land survey work on the ground class remote sensing image retrieval requirements . In this thesis, two tone, design and create a class-image feature retrieval library system, the main contents are as follows: 1 class remote sensing images of sample data management with the continuous expansion of remote sensing images to obtain the spatial and temporal scales, the number of samples collected remote sensing images increasing. The same time, it is to be completed on the the ground class remote sensing images auxiliary interpret more samples of remote sensing images in a variety of spatial and temporal scales. Efficient management of the growing importance of class remote sensing images of sample data. The system to establish a strict and efficient sample data management mechanisms to support the increase of data, delete, property changes, completeness checks, automatic backup functions. Class remote sensing image of the sample data retrieval in order to provide a powerful and convenient search function, the system is designed to achieve a variety of retrieval methods: based on a ground class retrieval; class retrieval based on the two places; according to the sensor type; according to imaging seasonal retrieval retrieved; according to the regional / provincial level administrative region; the any combination retrieve the above search conditions. Ground class remote sensing image the sample database updates sample database update includes record increase records, delete records in three aspects. Modify records and delete records must be completed by the server-side, the increase recorded either through server-side and client operating If the client makes a request to increase the sample image recording, you must go through the confirmation of the server-side to successfully update server database. Will be the final authority to update the database are set on the server side, is conducive to the stability of the system, and accurate operation.

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CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Photogrammetry and Surveying, Mapping and Remote Sensing > Surveying, Mapping and Remote Sensing technology
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