WSF-NET: Weakly Supervised Feature-Fusion Network for Binary Segmentation in Remote Sensing Image
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
WSF-NET: Weakly Supervised Feature-Fusion Network for Binary Segmentation in Remote Sensing Image
Authors
Keywords
-
Journal
Remote Sensing
Volume 10, Issue 12, Pages 1970
Publisher
MDPI AG
Online
2018-12-07
DOI
10.3390/rs10121970
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Semantic Segmentation of Aerial Images With Shuffling Convolutional Neural Networks
- (2018) Kaiqiang Chen et al. IEEE Geoscience and Remote Sensing Letters
- Automatic Water-Body Segmentation From High-Resolution Satellite Images via Deep Networks
- (2018) Ziming Miao et al. IEEE Geoscience and Remote Sensing Letters
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters
- (2018) Yongyang Xu et al. Remote Sensing
- River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation
- (2017) Marcin Ciecholewski EXPERT SYSTEMS WITH APPLICATIONS
- Harbor Water Area Extraction From Pan-Sharpened Remotely Sensed Images Based on the Definition Circle Model
- (2017) Yin Zhuang et al. IEEE Geoscience and Remote Sensing Letters
- Change Detection Based on Deep Siamese Convolutional Network for Optical Aerial Images
- (2017) Yang Zhan et al. IEEE Geoscience and Remote Sensing Letters
- Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
- (2017) Zhiwei Li et al. REMOTE SENSING OF ENVIRONMENT
- Semantic pixel labelling in remote sensing images using a deep convolutional encoder-decoder model
- (2017) Xin Wei et al. Remote Sensing Letters
- Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images
- (2017) Hongzhen Wang et al. Remote Sensing
- Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network
- (2017) Haoning Lin et al. Remote Sensing
- A new active contour remote sensing river image segmentation algorithm inspired from the cross entropy
- (2016) Yu Song et al. DIGITAL SIGNAL PROCESSING
- Robust Rooftop Extraction From Visible Band Images Using Higher Order CRF
- (2015) Er Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Modified Level Set Approach for Segmentation of Multiband Polarimetric SAR Images
- (2014) Junjun Yin et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Semantic Annotation of Satellite Images Using Author–Genre–Topic Model
- (2013) Wang Luo et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Automated detection of buildings from single VHR multispectral images using shadow information and graph cuts
- (2013) Ali Ozgun Ok ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Separation Between Water and Land in SAR Images Using Region-Based Level Sets
- (2009) M. Silveira et al. IEEE Geoscience and Remote Sensing Letters
- The Pascal Visual Object Classes (VOC) Challenge
- (2009) Mark Everingham et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk 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