Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism

Preetpal Kaur Buttar; Manoj Kumar Sachan

doi:10.1016/j.eswa.2022.118380

ScienceGate Book Chapters

JOURNAL ARTICLE

Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism

Preetpal Kaur Buttar Manoj Kumar Sachan

Year: 2022 Journal: Expert Systems with Applications Vol: 209 Pages: 118380-118380 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2022.118380

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Segmentation Artificial intelligence Cloud computing Deep learning Task (project management) Convolutional neural network Residual Encoder Pattern recognition (psychology) Remote sensing Algorithm

Metrics

Cited By

4.06

FWCI (Field Weighted Citation Impact)

107

Refs

0.93

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Semantic segmentation of clouds in satellite images based on U-Net++ architecture and attention mechanism

Metrics

Citation History

Topics

Related Documents

Semantic Segmentation of Clouds in Satellite Images Using Resnet Encoder Based U-Net++ Architecture

Towards U-Net Based Semantic Segmentation for Satellite Images

Extraction of Roads from Satellite Images Using U-Net-Based Semantic Segmentation Architecture

Semantic Segmentation of Satellite Images using Modified U-Net

Semantic Segmentation of Aerial Images Using U-Net Architecture