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山水林田湖草自然资源遥感智能解译样本库建设研究

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针对瞄准遥感智能解译样本稀缺这一基础性问题,本文研究涵盖山水林田湖草自然资源要素的遥感解译样本分类体系、采集与清洗、建库与利用方法,构建分布均匀、种类齐全、涵盖不同地物类型及观测尺度的遥感解译样本库,形成国产高分辨率卫星遥感信息提取与变化检测自动化、智能化业务支撑能力,服务自然资源监测监管及相关行业应用.
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

魏国芳、刘简铭、韩扬

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济南市勘察测绘研究院,山东济南 250000

自然资源 遥感智能解译 样本库 分类体系 行业应用

2024

测绘与空间地理信息
黑龙江省测绘学会

测绘与空间地理信息

影响因子:0.788
ISSN:1672-5867
年,卷(期):2024.47(4)
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