4.7 Article

Water Body Extraction in Remote Sensing Imagery Using Domain Adaptation-Based Network Embedding Selective Self-Attention and Multi-Scale Feature Fusion

Related references

Note: Only part of the references are listed.
Article Energy & Fuels

SegNet-based first-break picking via seismic waveform classification directly from shot gathers with sparsely distributed traces

San-Yi Yuan et al.

Summary: Manually picking regularly and densely distributed first breaks (FBs) are critical for shallow velocity model building in seismic data processing. However, it is time-consuming. We employ the fully convolutional SegNet to address this issue and present a fast automatic seismic waveform classification method to pick densely-sampled FBs directly from common-shot gathers with sparsely distributed traces.

PETROLEUM SCIENCE (2022)

Article Environmental Sciences

Rich CNN Features for Water-Body Segmentation from Very High Resolution Aerial and Satellite Imagery

Zhili Zhang et al.

Summary: Accurately extracting water bodies from high-resolution remote sensing imagery is a major challenge. This study addresses the difficulty in identifying water body boundaries and semantic inconsistency in feature fusion by designing a novel multi-feature extraction and fusion module. Extensive experiments demonstrate that the proposed method achieves state-of-the-art segmentation performance and robustness in challenging water body extraction scenarios.

REMOTE SENSING (2021)

Article Environmental Sciences

MSResNet: Multiscale Residual Network via Self-Supervised Learning for Water-Body Detection in Remote Sensing Imagery

Bo Dang et al.

Summary: This study introduces a novel multiscale residual network (MSResNet) that utilizes self-supervised learning (SSL) for water-body detection. The research addresses the shortcomings of traditional methods in capturing multiscale and multishape characteristics of water bodies, and effectively utilizes unlabeled data to enhance model performance.

REMOTE SENSING (2021)

Article Geochemistry & Geophysics

Multiscale Refinement Network for Water-Body Segmentation in High-Resolution Satellite Imagery

Lunhao Duan et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Article Computer Science, Information Systems

A Multi-Scale Water Extraction Convolutional Neural Network (MWEN) Method for GaoFen-1 Remote Sensing Images

Hongxiang Guo et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Article Engineering, Electrical & Electronic

BAS4Net: Boundary-Aware Semi-Supervised Semantic Segmentation Network for Very High Resolution Remote Sensing Images

Xian Sun et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Article Computer Science, Artificial Intelligence

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Wonjik Kim et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2020)

Article Engineering, Electrical & Electronic

Multilabel Remote Sensing Image Retrieval Based on Fully Convolutional Network

Zhenfeng Shao et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2020)

Article Engineering, Electrical & Electronic

A Novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

Pourya Shamsolmoali et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2019)

Article Engineering, Electrical & Electronic

Deep Convolutional Neural Network for Complex Wetland Classification Using Optical Remote Sensing Imagery

Mohammad Rezaee et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Engineering, Electrical & Electronic

Surface Water Mapping by Deep Learning

Furkan Isikdogan et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Article Geochemistry & Geophysics

Unsupervised-Restricted Deconvolutional Neural Network for Very High Resolution Remote-Sensing Image Classification

Yiting Tao et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)

Article Environmental Sciences

An approach for global monitoring of surface water extent variations in reservoirs using MODIS data

Ankush Khandelwal et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Computer Science, Artificial Intelligence

Convolutional Neural Networks for Water Body Extraction from Landsat Imagery

Long Yu et al.

INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (2017)

Article Environmental Sciences

Comparing Landsat water index methods for automated water classification in eastern Australia

Adrian Fisher et al.

REMOTE SENSING OF ENVIRONMENT (2016)

Article Chemistry, Analytical

Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree

Tri Dev Acharya et al.

SENSORS (2016)

Article Environmental Sciences

High-Resolution Mapping of Urban Surface Water Using ZY-3 Multi-Spectral Imagery

Fangfang Yao et al.

REMOTE SENSING (2015)

Article Environmental Sciences

Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery

Gudina L. Feyisa et al.

REMOTE SENSING OF ENVIRONMENT (2014)