| 摘要: |
| 文章提出了一种基于ENVI结合ArcGIS的卫星遥感影像数据自动预处理及信息提取方法,应用于黄海浒苔卫星遥感监测工作。根据不同星源数据的特点，定制化地使用ENVI软件进行几何校正、正射校正、镶嵌、裁剪、NDVI计算等步骤,实现对中高分辨率多光谱卫星遥感数据的自动流程化预处理，同时利用ArcGIS软件进行栅格数据矢量化并实现浒苔规模的量化计算，为监测人员提供高质量卫星遥感影像处理结果。在实际业务工作中，解决了黄海浒苔遥感影像预处理操作过程烦琐且耗时较长的问题。在2023年黄海浒苔卫星遥感影像上进行实验的结果显示，采用该方法进行多源卫星遥感数据的自动预处理以及浒苔信息提取时性能较为理想,且处理时长缩短,能够满足实际应用要求。 |
| 关键词: ENVI/IDL ArcGIS NDVI 预处理 浒苔 遥感 |
| DOI：10.20016/j.cnki.hykfygl.2024.10.011 |
| 投稿时间：2024-02-01修订日期：2024-10-08 |
| 基金项目:自然资源部东海局青年海洋科学基金（202206）. |
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| Design and Application of Automatic Preprocessing and Information Extraction of Enteromorpha Based on Remote Sensing Images |
| ZHANG Haorui,CHANG Junfang,FU Hongtao,WU Yuhua,CHEN Jian |
| East China Sea Forecasting and Disaster Reduction Center, Ministry of Natural Resources;Ocean-Atmosphere-Ecology Comprehensive Field Scientific Observation and Research Station, Flower Bird Mountain, East China Sea, Ministry of Natural Resources |
| Abstract: |
| This paper proposes a method of automatic preprocessing and information extraction of satellite remote sensing image data based on ENVI and ArcGIS, which is applied to satellite remote sensing monitoring of enteromorpha in the Yellow Sea. According to the characteristics of remote sensing data from different satellites, ENVI is customized to carry out geometric correction, orthographic correction, mosaic, clipping, NDVI calculation and other steps to achieve automatic preprocessing of medium and high resolution of multi-spectral satellite remote sensing data. At the same time, ArcGIS software was used to vectorize raster data and quantize the scale of enteromorpha, which provided high-quality satellite remote sensing image processing results for monitoring personnels. In the practical work, the problem of complicated and time-consuming operation process of remote sensing image preprocessing of enteromorpha in the Yellow Sea was solved. The results of experiments on remote sensing images of enteromorpha in the Yellow Sea in 2023 show that the method has good performance in automatic preprocessing of multi-source satellite remote sensing data and enteromorpha information extraction, and the processing time is shortened, which can meet the requirements of practical applications. |
| Key words: ENVI/IDL,ArcGIS,NDVI,Preprocess,Enteromorpha,Remote sensing |
