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Research On Key Techniques In Remote Sensing Image Processing Software

Posted on:2006-01-16Degree:DoctorType:Dissertation
Country:ChinaCandidate:J H SongFull Text:PDF
GTID:1118360155460916Subject:Cartography and Geographic Information System
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The system of remote sensing applications is primarily formed and pervades in our country, but one of the key problems in technique aspect is lacking excellent home-produced remote sensing image processing software. This situation not only hampers the production of remote sensing data on a large scale, but also impedes the applications of observation on earth and information technique. The research is based on the technique in developing remote sensing image processing software system, aims at solving the key problem in developing its platform software and relevant industry software, offers strong technique support to research and development on homemade remote sensing image processing and applications software.This thesis includes the following parts: the architecture of remote sensing image processing software; the representing method of image data in computer; image data input/output library and viewing library; rapid massive image data processing and an real sample which combines remote sensing techniques and industry applications ℃ the design and realization of interpretation and mapping system.This dissertation includes the following research products and originalities:1) Brings forward architecture for the remote sensing image processing software ℃ this system focuses on the remote sensing image application domain software architecture style, and has the features on style of hierarchical layers and style of data abstraction and object-oriented organization.2) Designs the image viewing model and coordinates transforming model and image transparent viewing model, after analyzing the main problems in the process of viewing remote sensing image data and its solutions, based on...
Keywords/Search Tags:software architecture, image viewing library, tile and hierarchical structure, massive image data, interpretation and mapping.
PDF Full Text Request
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