MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MSLWENet: A Novel Deep Learning Network for Lake Water Body Extraction of Google Remote Sensing Images
Authors
Keywords
-
Journal
Remote Sensing
Volume 12, Issue 24, Pages 4140
Publisher
MDPI AG
Online
2020-12-21
DOI
10.3390/rs12244140
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Multi-Scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images
- (2020) Hongxiang Guo et al. ISPRS International Journal of Geo-Information
- Automatic Water-Body Segmentation From High-Resolution Satellite Images via Deep Networks
- (2018) Ziming Miao et al. IEEE Geoscience and Remote Sensing Letters
- DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation
- (2018) Ruirui Li et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A simple automated dynamic threshold extraction method for the classification of large water bodies from landsat-8 OLI water index images
- (2018) Fangfang Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning
- (2018) Yang Chen et al. Water
- Automatic and Unsupervised Water Body Extraction Based on Spectral-Spatial Features Using GF-1 Satellite Imagery
- (2018) Yongjun Zhang et al. IEEE Geoscience and Remote Sensing Letters
- FusionNet: Edge Aware Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images
- (2017) Dongcai Cheng et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- 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
- An Automated Method for Extracting Rivers and Lakes from Landsat Imagery
- (2014) Hao Jiang et al. Remote Sensing
- Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery
- (2013) Gudina L. Feyisa et al. REMOTE SENSING OF ENVIRONMENT
- Lakes and reservoirs as regulators of carbon cycling and climate
- (2011) Lars J. Tranvik et al. LIMNOLOGY AND OCEANOGRAPHY
- Accumulation of heavy metals in soil and paddy crop (Oryza sativa), irrigated with water of Ramgarh Lake, Gorakhpur, UP, India
- (2011) Jaswant Singh et al. TOXICOLOGICAL AND ENVIRONMENTAL CHEMISTRY
- The relative importance of wind and ship waves in the littoral zone of a large lake
- (2010) Hilmar Hofmann et al. LIMNOLOGY AND OCEANOGRAPHY
- A Drinking Water Crisis in Lake Taihu, China: Linkage to Climatic Variability and Lake Management
- (2009) Boqiang Qin et al. ENVIRONMENTAL MANAGEMENT
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now