Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

作者: Salman H Khan , Xuming He , Fatih Porikli , Mohammed Bennamoun , None

DOI: 10.1109/TGRS.2017.2707528

关键词:

摘要: … data from remote sensing satellites to detect forest cover … learn region representations using a deep neural network in a … representations, we determine forest changes and predict their …

参考文章(66)
C. Lawrence Zitnick, Piotr Dollár, Edge Boxes: Locating Object Proposals from Edges Computer Vision – ECCV 2014. pp. 391- 405 ,(2014) , 10.1007/978-3-319-10602-1_26
Salman H. Khan, Munawar Hayat, Mohammed Bennamoun, Roberto Togneri, Ferdous A. Sohel, A Discriminative Representation of Convolutional Features for Indoor Scene Recognition IEEE Transactions on Image Processing. ,vol. 25, pp. 3372- 3383 ,(2016) , 10.1109/TIP.2016.2567076
Jun Wang, Jingwei Song, Mingquan Chen, Zhi Yang, Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine Journal of remote sensing. ,vol. 36, pp. 3144- 3169 ,(2015) , 10.1080/01431161.2015.1054049
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Txomin Hermosilla, Michael A. Wulder, Joanne C. White, Nicholas C. Coops, Geordie W. Hobart, Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics Remote Sensing of Environment. ,vol. 170, pp. 121- 132 ,(2015) , 10.1016/J.RSE.2015.09.004
Lionel Gueguen, Raffay Hamid, Large-scale damage detection using satellite imagery computer vision and pattern recognition. pp. 1321- 1328 ,(2015) , 10.1109/CVPR.2015.7298737
Jonathan Long, Evan Shelhamer, Trevor Darrell, Fully convolutional networks for semantic segmentation computer vision and pattern recognition. pp. 3431- 3440 ,(2015) , 10.1109/CVPR.2015.7298965
Otavio A. B. Penatti, Keiller Nogueira, Jefersson A. dos Santos, Do deep features generalize from everyday objects to remote sensing and aerial scenes domains computer vision and pattern recognition. pp. 44- 51 ,(2015) , 10.1109/CVPRW.2015.7301382
Matthew C. Hansen, Thomas R. Loveland, A review of large area monitoring of land cover change using Landsat data Remote Sensing of Environment. ,vol. 122, pp. 66- 74 ,(2012) , 10.1016/J.RSE.2011.08.024
Chengquan Huang, Kuan Song, Sunghee Kim, John R.G. Townshend, Paul Davis, Jeffrey G. Masek, Samuel N. Goward, Use of a dark object concept and support vector machines to automate forest cover change analysis Remote Sensing of Environment. ,vol. 112, pp. 970- 985 ,(2008) , 10.1016/J.RSE.2007.07.023