☆ 4.7 Article

LPASS-Net: Lightweight Progressive Attention Semantic Segmentation Network for Automatic Segmentation of Remote Sensing Images

REMOTE SENSING (2022)

Related references

Note: Only part of the references are listed.

Article Engineering, Electrical & Electronic

Wheat Yellow Rust Severity Detection by Efficient DF-UNet and UAV Multispectral Imagery

Tianxiang Zhang et al.

Summary: This paper investigates the detection of wheat yellow rust severity and proposes a real-time detection algorithm based on UAV multispectral images and deep learning networks. The algorithm achieves a lightweight structure through a pruning strategy and enhances the network's ability with a Sparse Channel Attention module. Experimental results show that the proposed algorithm can accurately detect different levels of yellow rust with a reduced computation load.

IEEE SENSORS JOURNAL (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Lightweight Deep Learning for Road Environment Recognition

Han Liang et al.

Summary: This paper proposes a road environment recognition system based on a lightweight residual convolutional attention network, which achieves high accuracy and real-time performance by improving the object detection and lane line detection models.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Computer Science, Information Systems

A Lightweight Remote Sensing Image Super-Resolution Method and Its Application in Smart Cities

Nenghuan Zhang et al.

Summary: This paper proposes a novel remote sensing image super-resolution method that leverages texture features and transformer attention mechanism to achieve better SR results. The application value of this method in smart cities is also evaluated.

ELECTRONICS (2022)

Add to Collection

Article Geography, Physical

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery

Libo Wang et al.

Summary: This paper discusses the importance of semantic segmentation of remotely sensed urban scene images in practical applications, and highlights the advantages of using Transformer and the proposed UNetFormer model for real-time segmentation. Experimental results demonstrate that UNetFormer achieves faster inference speed and higher accuracy compared to state-of-the-art lightweight models.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2022)

Add to Collection

Article Ecology

Monitoring deforestation in Jordan using deep semantic segmentation with satellite imagery

Ahmad Alzu'bi et al.

Summary: This study utilizes a deep learning model to automatically monitor deforestation in Jordan through semantic segmentation of satellite images. The proposed model achieves accurate forest image segmentation and successfully predicts deforestation and reforestation changes. The model demonstrates high accuracy and efficiency in identifying and estimating deforestation.

ECOLOGICAL INFORMATICS (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

HFA-Net: High frequency attention siamese network for building change detection in VHR remote sensing images

Hanhong Zheng et al.

Summary: Deep-learning based computer vision techniques can handle building change detection effectively. However, the segmentation and recognition of objects with sharper boundaries still face challenges. To address this, a high frequency attention-guided Siamese network was proposed to enhance high frequency information of buildings and improve the performance of detecting the edges of changed buildings.

PATTERN RECOGNITION (2022)

Add to Collection

Article Engineering, Electrical & Electronic

Deep Semantic Segmentation of Trees Using Multispectral Images

Irem Ulku et al.

Summary: This article addresses the tree segmentation problem using multispectral imagery and explores the use of hand-crafted spectral vegetation indices in deep learning models. The experiments show that, under certain conditions, combining different categories of multispectral vegetation indices can improve tree segmentation accuracy.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)

Add to Collection

Article Geochemistry & Geophysics

CSA-UNet: Channel-Spatial Attention-Based Encoder-Decoder Network for Rural Blue-Roofed Building Extraction From UAV Imagery

Xu Shi et al.

Summary: Building extraction is a critical and popular research topic in remote sensing image interpretation. The proposed CSA-UNet model addresses the shortcomings of existing deep learning methods for building extraction and achieves better results in rural blue-roofed building extraction tasks.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2022)

Add to Collection

Article Engineering, Electrical & Electronic

An Improved U-Net Model for Segmenting Wind Turbines From UAV-Taken Images

Long Wang et al.

Summary: This letter proposes an improved U-Net model for segmenting wind turbines from UAV-taken images. The proposed method utilizes ResNet as the backbone for feature extraction and incorporates two attention mechanisms to effectively fuse multiscale features and obtain cross-channel attention. Experimental results demonstrate the effectiveness of the proposed method for real UAV-based inspection tasks.

IEEE SENSORS LETTERS (2022)

Add to Collection

Article Remote Sensing

Semantic segmentation of major macroalgae in coastal environments using high-resolution ground imagery and deep learning

Jesus Balado et al.

Summary: Macroalgae play a crucial role in coastal ecosystems and are currently facing threats from various stressors. This study focuses on semantic segmentation of five macroalgal species using high-resolution ground images, with ResNet18 achieving the highest accuracy. The proposed method helps automate the labelling process for better management of macroalgae.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2021)

Add to Collection

Article Environmental Sciences

Semantic Segmentation for Buildings of Large Intra-Class Variation in Remote Sensing Images with O-GAN

Shuting Sun et al.

Summary: The study introduces a method to reduce intra-class differences by using two orthogonal generative adversarial networks to generate backgrounds and targets separately. By connecting the two networks' discriminators with a new loss function, and drawing on the idea of fine-grained image classification during building feature extraction, feature vectors for targets are clustered and used to train semantic segmentation networks.

REMOTE SENSING (2021)

Add to Collection

Article Geochemistry & Geophysics

Adaptive Effective Receptive Field Convolution for Semantic Segmentation of VHR Remote Sensing Images

Xi Chen et al.

Summary: The proposed adaptive effective receptive convolution (AERFC) method for very high-resolution remote sensing images effectively adjusts the receptive field, reducing training difficulty and overfitting risk while preserving image details. Experimental results demonstrate that AERFC outperforms state-of-the-art methods in quantitative and qualitative evaluations.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021)

Add to Collection

Article Geography, Physical

Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model

Pengliang Wei et al.

Summary: This study uses deep learning techniques combined with remote sensing imagery to formulate rice mapping as a semantic segmentation task, successfully identifying rice distribution in large scales. Experimental results demonstrate the excellent performance of the proposed method in rice extraction, benefiting from spatial characteristics and phenological similarity. The study further validates the advantages of temporal generalization in large-scale, indicating that the differences in rice between different years are smaller than those between different spaces.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2021)

Add to Collection

Article Engineering, Mechanical

Intelligent vehicle network system and smart city management based on genetic algorithms and image perception

Daming Li et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)

Add to Collection

Article Environmental Sciences

Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images

Ronghua Shang et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

DFCNN-Based Semantic Recognition of Urban Functional Zones by Integrating Remote Sensing Data and POI Data

Hanqing Bao et al.

REMOTE SENSING (2020)

Add to Collection

Article Computer Science, Information Systems

Classification of Very High-Resolution Remote Sensing Imagery Using a Fully Convolutional Network With Global and Local Context Information Enhancements

Huanjun Hu et al.

IEEE ACCESS (2020)

Add to Collection

Article Geography, Physical

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

Michael Wurm et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Add to Collection

Article Environmental Sciences

Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

Yaning Yi et al.

REMOTE SENSING (2019)

Add to Collection

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)

Add to Collection

Article Geography, Physical

Classification with an edge: Improving semantic with boundary detection

D. Marmanis et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)

Add to Collection

Article Geochemistry & Geophysics

Urban Land-Use Classification From Photographs

Fang Fang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Add to Collection

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)

Add to Collection

Article Geography, Physical

Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery

Clement Dechesne et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)

Add to Collection

Article Construction & Building Technology

Sustainable strategies for smart cities: Analysis of the town development effect on surface urban heat island through remote sensing methodologies

Stefania Bonafoni et al.

SUSTAINABLE CITIES AND SOCIETY (2017)

Add to Collection

Article Computer Science, Artificial Intelligence

Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Kaiming He et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)

Add to Collection

Article Environmental Sciences

Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods

Iryna Dronova et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Add to Collection

Article Geochemistry & Geophysics

Automatic Urban Water-Body Detection and Segmentation From Sparse ALSM Data via Spatially Constrained Model-Driven Clustering

Xiaohui Yuan et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2011)

Add to Collection

Article Environmental Sciences

Flood monitoring using multi-temporal COSMO-SkyMed data: Image segmentation and signature interpretation

L. Pulvirenti et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Add to Collection

© Peeref 2019-2024. All rights reserved.