4.5 Article

Multi-Resolution Transformer Network for Building and Road Segmentation of Remote Sensing Image

Related references

Note: Only part of the references are listed.
Article Remote Sensing

SUACDNet: Attentional change detection network based on siamese U-shaped structure

Lei Song et al.

Summary: This paper proposes a novel attentional change detection network SUACDNet, which introduces Siamese structure and various modules for optimization, enabling more accurate detection of the changed areas in remote sensing images.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Environmental Sciences

PANDA: parallel asymmetric network with double attention for cloud and its shadow detection

Min Xia et al.

Journal of Applied Remote Sensing (2021)

Article Computer Science, Interdisciplinary Applications

Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow

Yi Qu et al.

Summary: A new method for automatic segmentation of clouds and their shadows in remote sensing images is proposed, using a strip pooling residual network to obtain more accurate local position information and improving segmentation accuracy by combining channel attention and spatial attention.

COMPUTERS & GEOSCIENCES (2021)

Article Computer Science, Information Systems

Intent-based resource matching strategy in cloud

Li He et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Global context based automatic road segmentation via dilated convolutional neural network

Meng Lan et al.

INFORMATION SCIENCES (2020)

Article Computer Science, Information Systems

Dual Path Attention Net for Remote Sensing Semantic Image Segmentation

Jinglun Li et al.

ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2020)

Article Computer Science, Artificial Intelligence

Non-intrusive load disaggregation based on composite deep long short-term memory network

Min Xia et al.

EXPERT SYSTEMS WITH APPLICATIONS (2020)

Article Computer Science, Information Systems

Deep Attention and Multi-Scale Networks for Accurate Remote Sensing Image Segmentation

Xingqun Qi et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

A New Multi-Channel Deep Convolutional Neural Network for Semantic Segmentation of Remote Sensing Image

Wenjie Liu et al.

IEEE ACCESS (2020)

Article Computer Science, Theory & Methods

Multi-Stage Feature Constraints Learning for Age Estimation

Min Xia et al.

IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY (2020)

Article Geochemistry & Geophysics

Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM

Weiwei Sun et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Geochemistry & Geophysics

Learning Aerial Image Segmentation From Online Maps

Pascal Kaiser et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2017)

Article Computer Science, Artificial Intelligence

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Vijay Badrinarayanan et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)

Article Geochemistry & Geophysics

Remote Sensing Image Segmentation by Combining Spectral and Texture Features

Jiangye Yuan et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)

Article Computer Science, Artificial Intelligence

An Edge Embedded Marker-Based Watershed Algorithm for High Spatial Resolution Remote Sensing Image Segmentation

Deren Li et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2010)

Article Computer Science, Artificial Intelligence

Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

Jianchao Fan et al.

PATTERN RECOGNITION (2009)