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題名：An Application of Deep Learning Image Classification on Landslide Automated Detection with FORMOSAT-2 Satellite Imagery
書刊名：地理研究
作者：蔡詠名／張國楨／陳俊愷／周學政
作者(外文)：Tsai, Yung-ming／Chang, Kuo-chen／Chen, Chun-kai／Chou, Hseuh-cheng
出版日期：2019
卷期：71
頁次：頁67-78
主題關鍵詞：崩塌地；影像分類；深度學習；衛星影像；U-net；Landslide；Image classification；Deep learning；Satellite imagery
原始連結：連回原系統網址new window
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期刊論文
1.Blaschke, T.(2010)。Object based image analysis for remote sensing。ISPRS Journal of Photogrammetry and Remote Sensing，65(1)，2-16。  new window
2.Cheng, K. S.、Wei, C.、Chang, S. C.(2004)。Locating landslides using multi-temporal satellite images。Advances in Space Research，33(3)，296-301。  new window
3.Aksoy, B.、Ercanoglu, M.(2012)。Landslide identification and classification by object-based image analysis and fuzzy logic: an example from the Azdavay region (Kastamonu, Turkey)。Computers and Geosciences，38(1)，87-98。  new window
4.van Westen, C. J.(2000)。Remote Sensing for Natural Disaster Management。International Archives of Photogrammetry and Remote Sensing，33(B7)，1609-1617。  new window
5.Bai, Y.、Mas, E.、Koshimura, S.(2018)。Towards operational satellite-based damage-mapping using U-net convolutional network: a case study of 2011 Tohoku Earthquake-Tsunami。Remote Sensing，10(10)。  new window
6.Borghuis, A. M.、Chang, K.、Lee, H. Y.(2007)。Comparison between automated and manual mapping of typhoon-triggered landslides from SPOT-5 imagery。International Journal of Remote Sensing，28(8)，1843-1856。  new window
7.Zhang, Z.、Liu, Q.、Wang, Y.(2018)。Road extraction by deep residual u-net。IEEE Geoscience and Remote Sensing Letters，15(5)，749-753。  new window
8.Hervás, J.、Barredo, J. I.、Rosin, P. L.、Pasuto, A.、Mantovani, F.、Silvano, S.(2003)。Monitoring landslides from optical remotely sensed imagery: the case history of Tessina landslide, Italy。Geomorphology，54(1/2)，63-75。  new window
9.Stumpf, A.、Kerle, N.(2011)。Object-oriented mapping of landslides using Random Forests。Remote sensing of environment，115(10)，2564-2577。  new window
10.Ren, S.、He, K.、Girshick, R.、Sun, J.(2015)。Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks。Advances in Neural Information Processing Systems，28(1)，91-99。  new window
會議論文
1.Baätz, M.、Schäpe, A.(2000)。Multiresolution segmentation: An optimization approach for high quality multi-scale image segmentation12-23。  new window
2.Zhang, Y.(2002)。A new automatic approach for effectively fusing Landsat 7 as well as IKONOS images。IEEE International Geoscience and Remote Sensing Symposium。IEEE。2429-2431。  new window
3.Girshick, R.(2015)。Fast R-CNN。The IEEE International Conference on Computer Vision，1440-1448。  new window
4.Rakhlin, A.、Davydow, A.、Nikolenko, S. I.(2018)。Land Cover Classification from Satellite Imagery with U-Net and Lovász-Softmax Loss。CVPR Workshops。  new window
5.Ronneberger, O.、Fischer, P.、Brox, T.(2015)。U-net: Convolutional networks for biomedical image segmentation。MICCAI 2015 18th International Conference on Medical Image Computing and Computer-Assisted Intervention。Cham：Springer。234-241。  new window
6.Krizhevsky, Alex、Sutskever, I.、Hinton, G. E.(2012)。ImageNet Classification with Deep Convolutional Neural Networks。The 25th International Conference on Neural Information Processing Systems。Curran Associates Inc.。1097-1105。  new window
7.Redmon, Joseph、Divvala, Santosh、Girshick, Ross、Farhadi, Ali(2016)。You only look once: Unified, real-time object detection。The 29th IEEE Conference on Computer Vision and Pattern Recognition，(會議日期: 27-30 June 2016)，779-788。  new window
單篇論文
1.Iglovikov, V.，Mushinskiy, S.，Osin, V.(2017)。Satellite imagery feature detection using deep convolutional neural network: A kaggle competition(1706.06169)。  new window
 
 
 
 
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