Aiming at the basic problem of scarcity of remote sensing intelligent interpretation samples, this paper studies the classifica-tion system, collection and cleaning, database construction and utilization methods of remote sensing interpretation samples covering natural resources elements of mountains, rivers, forests, fields, lakes and grasses. A remote sensing interpretation sample database with uniform distribution, complete variety, covering different ground object types and observation scales, forming a domestic high-resolution satellite remote sensing information extraction and change detection automated and intelligent business support capabilities, serving natural resource monitoring and supervision and related industry applications.
关键词
自然资源/遥感智能解译/样本库/分类体系/行业应用
Key words
natural resources/intelligent interpretation of remote sensing/sample database/classification system/industry application
维普
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