Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images
Authors
Keywords
-
Journal
Remote Sensing
Volume 10, Issue 5, Pages 755
Publisher
MDPI AG
Online
2018-05-15
DOI
10.3390/rs10050755
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep fully-connected networks for video compressive sensing
- (2018) Michael Iliadis et al. DIGITAL SIGNAL PROCESSING
- Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
- (2017) Xingrui Yu et al. GIScience & Remote Sensing
- Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
- (2017) Nataliia Kussul et al. IEEE Geoscience and Remote Sensing Letters
- Surface Water Mapping by Deep Learning
- (2017) Furkan Isikdogan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case
- (2017) Marco Chini et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- New algorithms for shoreline monitoring from coastal video systems
- (2017) Nico Valentini et al. Earth Science Informatics
- Integrating Radarsat-2, Lidar, and Worldview-3 Imagery to Maximize Detection of Forested Inundation Extent in the Delmarva Peninsula, USA
- (2017) Melanie Vanderhoof et al. Remote Sensing
- Automated Extraction of Urban Water Bodies from ZY‐3 Multi‐Spectral Imagery
- (2017) Fan Yang et al. Water
- Open Surface Water Mapping Algorithms: A Comparison of Water-Related Spectral Indices and Sensors
- (2017) Yan Zhou et al. Water
- Remote Sensing Image Classification: A survey of support-vector-machine-based advanced techniques
- (2017) Ujjwal Maulik et al. IEEE Geoscience and Remote Sensing Magazine
- Comparative analysis on hidden neurons estimation in multi layer perceptron neural networks for wind speed forecasting
- (2016) M. Madhiarasan et al. ARTIFICIAL INTELLIGENCE REVIEW
- Deep-STEP: A Deep Learning Approach for Spatiotemporal Prediction of Remote Sensing Data
- (2016) Monidipa Das et al. IEEE Geoscience and Remote Sensing Letters
- Evaluation of Landsat 8 OLI imagery for unsupervised inland water extraction
- (2016) Huan Xie et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Study on atmospheric correction approach of Landsat-8 imageries based on 6S model and look-up table
- (2016) Yan Peng et al. Journal of Applied Remote Sensing
- Coastal Observation through Cosmo-SkyMed High-Resolution SAR Images
- (2016) Maria Francesca Bruno et al. JOURNAL OF COASTAL RESEARCH
- High-resolution mapping of global surface water and its long-term changes
- (2016) Jean-François Pekel et al. NATURE
- Deep learning for visual understanding: A review
- (2016) Yanming Guo et al. NEUROCOMPUTING
- Comparing Landsat water index methods for automated water classification in eastern Australia
- (2016) Adrian Fisher et al. REMOTE SENSING OF ENVIRONMENT
- Integration of multi-classifiers in object-based methods for forest classification in the Loess plateau, China
- (2016) Pengxiang Zhao et al. SCIENCEASIA
- Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree
- (2016) Tri Acharya et al. SENSORS
- Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
- (2016) Weijia Li et al. Remote Sensing
- Water Bodies’ Mapping from Sentinel-2 Imagery with Modified Normalized Difference Water Index at 10-m Spatial Resolution Produced by Sharpening the SWIR Band
- (2016) Yun Du et al. Remote Sensing
- Deep Learning for Remote Sensing Image Understanding
- (2016) Liangpei Zhang et al. Journal of Sensors
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- Four billion people facing severe water scarcity
- (2016) M. M. Mekonnen et al. Science Advances
- Deep Learning Based Feature Selection for Remote Sensing Scene Classification
- (2015) Qin Zou et al. IEEE Geoscience and Remote Sensing Letters
- Combining Pixel- and Object-Based Machine Learning for Identification of Water-Body Types From Urban High-Resolution Remote-Sensing Imagery
- (2015) Xin Huang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques
- (2015) Komeil Rokni et al. International Journal of Applied Earth Observation and Geoinformation
- A global, high-resolution (30-m) inland water body dataset for 2000: first results of a topographic–spectral classification algorithm
- (2015) Min Feng et al. International Journal of Digital Earth
- On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery
- (2015) Wenzhi Zhao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Landsat 8 OLI image based terrestrial water extraction from heterogeneous backgrounds using a reflectance homogenization approach
- (2015) Yuhao Yang et al. REMOTE SENSING OF ENVIRONMENT
- Development of a global ~90m water body map using multi-temporal Landsat images
- (2015) Dai Yamazaki et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery
- (2015) Fangfang Yao et al. Remote Sensing
- Improving the Accuracy of the Water Surface Cover Type in the 30 m FROM-GLC Product
- (2015) Luyan Ji et al. Remote Sensing
- Multilayer Perceptron Neural Networks Model for Meteosat Second Generation SEVIRI Daytime Cloud Masking
- (2015) Alireza Taravat et al. Remote Sensing
- Target Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery
- (2015) Luyan Ji et al. Water
- High-resolution remote sensing mapping of global land water
- (2014) AnPing Liao et al. Science China-Earth Sciences
- Information Extraction of High-Resolution Remotely Sensed Image Based on Multiresolution Segmentation
- (2014) Peng Shao et al. Sustainability
- Global water resources affected by human interventions and climate change
- (2013) Ingjerd Haddeland et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
- (2013) Gudina L. Feyisa et al. REMOTE SENSING OF ENVIRONMENT
- Global flood risk under climate change
- (2013) Yukiko Hirabayashi et al. Nature Climate Change
- Water body mapping method with HJ-1A/B satellite imagery
- (2010) Shanlong Lu et al. International Journal of Applied Earth Observation and Geoinformation
- Global threats to human water security and river biodiversity
- (2010) C. J. Vörösmarty et al. NATURE
- A new global raster water mask at 250 m resolution
- (2009) M.L. Carroll et al. International Journal of Digital Earth
- An automatic method for burn scar mapping using support vector machines
- (2009) X. Cao et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started