Research on the Construction of Sample Database for Intelligent Interpretation of Natural Resources Remote Sensing
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.
natural resourcesintelligent interpretation of remote sensingsample databaseclassification systemindustry application