Remote Sensing Landslide Recognition Based on Convolutional Neural Network
المؤلفون المشاركون
Wang, Xiaofei
Wang, Yu
Jian, Junfan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Landslides are a type of frequent and widespread natural disaster.
It is of great significance to extract location information from the landslide in time.
At present, most articles still select single band or RGB bands as the feature for landslide recognition.
To improve the efficiency of landslide recognition, this study proposed a remote sensing recognition method based on the convolutional neural network of the mixed spectral characteristics.
Firstly, this paper tried to add NDVI (normalized difference vegetation index) and NIRS (near-infrared spectroscopy) to enhance the features.
Then, remote sensing images (predisaster and postdisaster images) with same spatial information but different time series information regarding landslide are taken directly from GF-1 satellite as input images.
By combining the 4 bands (red + green + blue + near-infrared) of the prelandslide remote sensing images with the 4 bands of the postlandslide images and NDVI images, images with 9 bands were obtained, and the band values reflecting the changing characteristics of the landslide were determined.
Finally, a deep learning convolutional neural network (CNN) was introduced to solve the problem.
The proposed method was tested and verified with remote sensing data from the 2015 large-scale landslide event in Shanxi, China, and 2016 large-scale landslide event in Fujian, China.
The results showed that the accuracy of the method was high.
Compared with the traditional methods, the recognition efficiency was improved, proving the effectiveness and feasibility of the method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Yu& Wang, Xiaofei& Jian, Junfan. 2019. Remote Sensing Landslide Recognition Based on Convolutional Neural Network. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197596
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Yu…[et al.]. Remote Sensing Landslide Recognition Based on Convolutional Neural Network. Mathematical Problems in Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1197596
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Yu& Wang, Xiaofei& Jian, Junfan. Remote Sensing Landslide Recognition Based on Convolutional Neural Network. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1197596
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1197596
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر