资源简介

摘要： 石冰川是以冰岩混合物为基础形成的一类具有舌状堆积纹理的冰缘地貌，了解其分布和变化对于寒区环境研究具有重要价值，遥感技术的发展为石冰川的识别提供了有效的手段。针对石冰川发育地的偏远和调查的困难，以及其光谱特征的微弱性，提出了一种基于深度学习的石冰川识别方法，以ResNet作为训练网络，得到石冰川的图像分类模型，以国产高分一号遥感影像作为实验数据，在念青唐古拉山西段展开了应用，共识别出石冰川96条。验证结果表明：该方法具有较高的识别精度（98.72%的总体精度、89.48%的生产精度和81.77 %的用户精度），证明该方法能够有效地识别石冰川，并为在大区域开展石冰川的调查和分析提供了基础。 关键词： 深度学习;  高分一号;  石冰川;  ResNet     Abstract: Rock glacier is a geomorphological landform with ligule accumulation texture that formed from mixture of ice and debris. Investigating the distribution of rock glaciers can provide effective information for studying the environment and climate change in cold regions. The development of remote sensing technology provides an effective way for identifying rock glacier. However， its execution is difficult due to the large area of rock glacier distribution as well as the similarity between rock glacier and its surroundings in spectral surface reflectance. Comparing to the traditional visual interpretation approach， this paper presented a more effective method for automatically identifying rock glaciers in high-resolution images. The method was implemented by integrating the Deep Learning development framework to build the model through interactive training from the ResNet network. The model was then applied to identify rock glaciers in GaoFen-1 images that collected in West Nyainqentanglha Mountains， where are rich of rock glaciers. Gaofen-1 images were used as the satellite data source， and 96 rock glaciers were identified in the West Nyainqentanglha Mountains. Accuracy of the results were assessed by comparing to human interpreted data， and it reported 98.72% Overall Accuracy， 89.48% Producer's Accuracy， and 81.77% User's Accuracy， suggesting that the presented method is very effective for identifying rock glaciers， and it provides a potential capability for mapping the distribution of rock glacier in large areas.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.