Related references
Note: Only part of the references are listed.GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
Qi Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Scene Classification With Recurrent Attention of VHR Remote Sensing Images
Qi Wang et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
Spectral matching based on discrete particle swarm optimization: A new method for terrestrial water body extraction using multi-temporal Landsat 8 images
Kai Jia et al.
REMOTE SENSING OF ENVIRONMENT (2018)
Two-Step Urban Water Index (TSUWI): A New Technique for High-Resolution Mapping of Urban Surface Water
Wei Wu et al.
REMOTE SENSING (2018)
Surface Water Mapping by Deep Learning
Furkan Isikdogan et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Mapping of Urban Surface Water Bodies from Sentinel-2 MSI Imagery at 10 m Resolution via NDWI-Based Image Sharpening
Xiucheng Yang et al.
REMOTE SENSING (2017)
Deep Learning in Remote Sensing
Xiao Xiang Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Automated Subpixel Surface Water Mapping from Heterogeneous Urban Environments Using Landsat 8 OLI Imagery
Huan Xie et al.
REMOTE SENSING (2016)
Ready-to-Use Methods for the Detection of Clouds, Cirrus, Snow, Shadow, Water and Clear Sky Pixels in Sentinel-2 MSI Images
Andre Hollstein et al.
REMOTE SENSING (2016)
Deep Learning for Remote Sensing Data A technical tutorial on the state of the art
Liangpei Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2016)
Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery
Xin Huang et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2015)
A Critical Comparison Among Pansharpening Algorithms
Gemine Vivone et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
Soft urban water cover extraction using mixed training samples and Support Vector Machines
Xiaoxia Sun et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2015)
Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach
Yuhao Yang et al.
REMOTE SENSING OF ENVIRONMENT (2015)
High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery
Fangfang Yao et al.
REMOTE SENSING (2015)
Analysis of the impact of spatial resolution on land/water classifications using high-resolution aerial imagery
Nicholas M. Enwright et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2014)
Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
Gudina L. Feyisa et al.
REMOTE SENSING OF ENVIRONMENT (2014)
A Water Index for SPOT5 HRG Satellite Imagery, New South Wales, Australia, Determined by Linear Discriminant Analysis
Adrian Fisher et al.
REMOTE SENSING (2013)
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
Radhakrishna Achanta et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2012)
Automatic radiometric normalization of multitemporal satellite imagery
MJ Canty et al.
REMOTE SENSING OF ENVIRONMENT (2004)
China's 8 challenges to water resources management in the first quarter of the 21st Century
O Varis et al.
GEOMORPHOLOGY (2001)