Geological Hyperspectral Remote Sensing Image Intelligent Interpretation Workflow System
地质高光谱遥感影像智能解译工作流系统
Addressing pain points such as reliance on manual experience in geological remote sensing interpretation, vague definition of interpretation signs, and difficulty in multi-source data fusion, this system constructs a standardized hyperspectral remote sensing interpretation workflow. Integrating hyperspectral data from satellites like Geo-1 with multi-spectral images, it automatically identifies alteration rocks, ore-bearing strata, and stratigraphic lithology, outputting structured interpretation reports to solve the industry problem of 'depending on experience for image analysis and difficult-to-trace conclusions'.
npx openclaw skills install skill-geological-hyperspectral-remote-sensing-imageFeatures
- **解译标志库智能构建**: 基于标准地质图件与已有遥感解译成果,自动提取不同岩性、蚀变类型的标准波谱曲线与纹理特征值,构建项目级解译标志库,解决新人培训周期长、解译一致性差的问题
- **高光谱矿物信息提取**: 采用混合调匹法(MMT)与光谱角填图(SAM)算法,从高光谱数据中自动识别羟基蚀变矿物(绿泥石、绢云母)、铁染矿物(赤铁矿、黄铁矿)分布范围,生成蚀变分带图与找矿靶区预测
- **多尺度数据融合分析**: 将地质一号卫星高光谱数据(30m空间分辨率)与航空高光谱数据(1-5m)、无人机多光谱数据(0.1-0.5m)进行分层融合,实现从区域靶区圈定到局部异常点验证的全尺度支撑
- **地层岩性自动分类**: 基于深度学习语义分割模型,对遥感影像进行岩性单元自动划分,输出与1:5万地质图精度相当的岩性分布图,并对分类结果标注置信度,低置信度区域推送人工复核
- **解译成果版本管理**: 对解译过程全流程留痕,记录每个岩性单元的判读依据(波谱曲线、空间位置、邻接关系),支持多人协同解译与版本对比,满足地质勘查项目审查的成果溯源要求
Use Cases
Installation
npx openclaw skills install skill-geological-hyperspectral-remote-sensing-image
Usage Examples
`对我司获取的xxx矿区高光谱数据进行蚀变矿物自动提取,输出蚀变分带图与找矿靶区`
`将航空高光谱与卫星高光谱数据融合,分析工作区东南部岩性分布特征`
`生成xxx勘查项目遥感解译章节,包含方法、成果与结论部分`