Water Identification from High-Resolution Remote Sensing Images Based on Multidimensional Densely Connected Convolutional Neural Networks

[1]  Stephen V. Stehman,et al.  Selecting and interpreting measures of thematic classification accuracy , 1997 .

[2]  Hongxing Zheng,et al.  Glacier and lake variations in the Yamzhog Yumco basin, southern Tibetan Plateau, from 1980 to 2000 using remote-sensing and GIS technologies , 2007, Journal of Glaciology.

[3]  Yoshua Bengio,et al.  Gradient-based learning applied to document recognition , 1998, Proc. IEEE.

[4]  J. Birkmann,et al.  Assessing relationship between vulnerability and capacity: An empirical study on rural flooding in Pakistan , 2019, International Journal of Disaster Risk Reduction.

[5]  P. Frazier,et al.  Water body detection and delineation with Landsat TM data. , 2000 .

[6]  Zongxue Xu,et al.  An enhanced inundation method for urban flood hazard mapping at the large catchment scale , 2019, Journal of Hydrology.

[7]  E. Jeppesen,et al.  Impacts of Three Gorges Reservoir on the sedimentation regimes in the downstream-linked two largest Chinese freshwater lakes , 2016, Scientific Reports.

[8]  S. K. McFeeters The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features , 1996 .

[9]  M. Joseph Hughes,et al.  Automated Detection of Cloud and Cloud Shadow in Single-Date Landsat Imagery Using Neural Networks and Spatial Post-Processing , 2014, Remote. Sens..

[10]  Hanqiu Xu Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery , 2006 .

[11]  I. J. Barton,et al.  Monitoring floods with AVHRR , 1989 .

[12]  Yongchun Xie,et al.  Fast Threshold Image Segmentation Based on 2D Fuzzy Fisher and Random Local Optimized QPSO , 2017, IEEE Transactions on Image Processing.

[13]  Tong Jiang,et al.  Interactions of the Yangtze river flow and hydrologic processes of the Poyang Lake, China , 2007 .

[14]  A. Shevyrnogov,et al.  Application of satellite data for investigation of dynamic processes in inland water bodies: Lake Shira (Khakasia, Siberia), a case study , 2002, Aquatic Ecology.

[15]  Trevor Darrell,et al.  Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Horst Bischof,et al.  Multispectral classification of Landsat-images using neural networks , 1992, IEEE Trans. Geosci. Remote. Sens..

[17]  Matthew Baker,et al.  Extraction of hydrological proximity measures from DEMs using parallel processing , 2011, Environ. Model. Softw..

[18]  Luis Álvarez,et al.  A Morphological Approach to Curvature-Based Evolution of Curves and Surfaces , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[19]  Desheng Liu,et al.  Blending MODIS and Landsat images for urban flood mapping , 2014 .

[20]  Xiaoling Chen,et al.  Long-Term Distribution Patterns of Chlorophyll-a Concentration in China's Largest Freshwater Lake: MERIS Full-Resolution Observations with a Practical Approach , 2014, Remote. Sens..

[21]  夏晓瑞,et al.  基于决策树的Landsat TM/ETM+图像中太湖蓝藻水华信息提取 , 2014 .

[22]  Serge Massicotte,et al.  Determination of the drainage structure of a watershed using a digital elevation model and a digital river and lake network , 2001 .

[23]  Zhu Zhang-Meng,et al.  River Linear Water Adaptive Auto-extraction on Remote Sensing Image Aided by DEM , 2013 .

[24]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[25]  Xiaodong Mu,et al.  Scene classification of remote sensing image based on deep network grading transferring , 2018, Optik.

[26]  Brigitte Poulin,et al.  Wetland monitoring using classification trees and SPOT-5 seasonal time series , 2010 .

[27]  Shervin Minaee,et al.  An ADMM Approach to Masked Signal Decomposition Using Subspace Representation , 2017, IEEE Transactions on Image Processing.

[28]  Roberto Cipolla,et al.  SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Mohammad Javad Valadan Zoej,et al.  Optimal fusion of optical and SAR high-resolution images for semiautomatic building detection , 2016 .

[30]  Jae Kang Lee,et al.  Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree , 2016, Sensors.

[31]  Giuseppe Zibordi,et al.  Optically black waters in the northern Baltic Sea , 2010 .

[32]  D. Lettenmaier,et al.  Global monitoring of large reservoir storage from satellite remote sensing , 2011 .

[33]  Yurong Liu,et al.  A survey of deep neural network architectures and their applications , 2017, Neurocomputing.

[34]  Min Feng,et al.  A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm , 2016, Int. J. Digit. Earth.

[35]  M. Kelly,et al.  Mapping changes to vegetation pattern in a restoring wetland: Finding pattern metrics that are consistent across spatial scale and time , 2011 .

[36]  Rasmus Fensholt,et al.  Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery , 2014 .