Application of convolutional neural network in fusion and classification of multi-source remote sensing data

Application of convolutional neural network in fusion and classification of multi-source remote sensing data

IntroductionThrough remote sensing images, we can understand and observe the terrain, and its application scope is relatively large, such as agriculture, military, etc.MethodsIn order to achieve more accurate and efficient multi-source remote sensing data fusion and classification, this study propos...

Full description

Bibliographic Details
Main Authors:	Fanghong Ye, Zheng Zhou, Yue Wu, Bayarmaa Enkhtur
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-12-01
Series:	Frontiers in Neurorobotics
Subjects:	remote sensing image convolutional neural network double branch structure hyperspectral DB-CNN algorithm lidar data
Online Access:	https://www.frontiersin.org/articles/10.3389/fnbot.2022.1095717/full

Similar Items

Remote sensing pipeline for tree segmentation and classification in a mixed softwood and hardwood system
by: Conor A. McMahon
Published: (2019-02-01)

Hyperspectral Remote Sensing Image Classification Based on Maximum Overlap Pooling Convolutional Neural Network
by: Chenming Li, et al.
Published: (2018-10-01)

Exploiting Convolutional Neural Networks With Deeply Local Description for Remote Sensing Image Classification
by: Na Liu, et al.
Published: (2018-01-01)

Spatial and Spectral-Channel Attention Network for Denoising on Hyperspectral Remote Sensing Image
by: Hong-Xia Dou, et al.
Published: (2022-07-01)

TCUNet: A Lightweight Dual-Branch Parallel Network for Sea–Land Segmentation in Remote Sensing Images
by: Xuan Xiong, et al.
Published: (2023-09-01)

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping
by: Wenzhi Liao, et al.
Published: (2018-01-01)

Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network
by: Runmin Lei, et al.
Published: (2021-01-01)

Experimental Tests for Fluorescence LIDAR Remote Sensing of Submerged Plastic Marine Litter
by: Lorenzo Palombi, et al.
Published: (2022-11-01)

Remote Sensing Scene Image Classification Based on Dense Fusion of Multi-level Features
by: Cuiping Shi, et al.
Published: (2021-10-01)

Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm
by: Wenqiang Hua, et al.
Published: (2022-01-01)

Remote Sensing Scene Image Classification Based on Self-Compensating Convolution Neural Network
by: Cuiping Shi, et al.
Published: (2022-01-01)

Estimating Grass Sward Quality and Quantity Parameters Using Drone Remote Sensing with Deep Neural Networks
by: Kirsi Karila, et al.
Published: (2022-06-01)

Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data
by: Kevin T. Decker, et al.
Published: (2022-04-01)

A Review of Crop Water Stress Assessment Using Remote Sensing
by: Uzair Ahmad, et al.
Published: (2021-10-01)

Hyperspectral Point Cloud Projection for the Semantic Segmentation of Multimodal Hyperspectral and Lidar Data with Point Convolution-Based Deep Fusion Neural Networks
by: Kevin T. Decker, et al.
Published: (2023-07-01)

Mapping Buildings across Heterogeneous Landscapes: Machine Learning and Deep Learning Applied to Multi-Modal Remote Sensing Data
by: Rachel E. Mason, et al.
Published: (2023-09-01)

A dual-branch multi-feature deep fusion network framework for hyperspectral image classification
by: Linfeng Liu, et al.
Published: (2024-02-01)

Row selection in remote sensing from four-row plots of maize and sorghum based on repeatability and predictive modeling
by: Seth A. Tolley, et al.
Published: (2023-06-01)

Deep Object-Centric Pooling in Convolutional Neural Network for Remote Sensing Scene Classification
by: Kunlun Qi, et al.
Published: (2021-01-01)

A New End-to-End Multi-Dimensional CNN Framework for Land Cover/Land Use Change Detection in Multi-Source Remote Sensing Datasets
by: Seyd Teymoor Seydi, et al.
Published: (2020-06-01)

A Multi-Branch Feature Fusion Strategy Based on an Attention Mechanism for Remote Sensing Image Scene Classification
by: Cuiping Shi, et al.
Published: (2021-05-01)

Learn by Yourself: A Feature-Augmented Self-Distillation Convolutional Neural Network for Remote Sensing Scene Image Classification
by: Cuiping Shi, et al.
Published: (2023-12-01)

Two-Branch Convolutional Neural Network with Polarized Full Attention for Hyperspectral Image Classification
by: Haimiao Ge, et al.
Published: (2023-02-01)

Crowdsourcing Experiment and Fully Convolutional Neural Networks for Coastal Remote Sensing of Seagrass and Macroalgae
by: Brandon Hobley, et al.
Published: (2023-01-01)

EFFC-Net: lightweight fully convolutional neural networks in remote sensing disaster images
by: Jianye Yuan, et al.
Published: (2023-05-01)

A full convolutional network based on DenseNet for remote sensing scene classificationv
by: Jianming Zhang, et al.
Published: (2019-04-01)

CNN and Transformer Fusion for Remote Sensing Image Semantic Segmentation
by: Xin Chen, et al.
Published: (2023-09-01)

Hyperspectral Image Classification: An Analysis Employing CNN, LSTM, Transformer, and Attention Mechanism
by: Felipe Viel, et al.
Published: (2023-01-01)

Advances in spaceborne hyperspectral remote sensing in China
by: Yanfei Zhong, et al.
Published: (2021-01-01)

Multi-source remote sensing image classification based on two-channel densely connected convolutional networks
by: Haifeng Song, et al.
Published: (2020-10-01)

Attention Mechanism and Depthwise Separable Convolution Aided 3DCNN for Hyperspectral Remote Sensing Image Classification
by: Wenmei Li, et al.
Published: (2022-05-01)

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data
by: Haotian Zhang, et al.
Published: (2023-01-01)

Wavelet Integrated Convolutional Neural Network for Thin Cloud Removal in Remote Sensing Images
by: Yue Zi, et al.
Published: (2023-01-01)

A Lightweight Convolutional Neural Network Based on Hierarchical-Wise Convolution Fusion for Remote-Sensing Scene Image Classification
by: Cuiping Shi, et al.
Published: (2022-07-01)

A Lightweight Convolutional Neural Network Based on Channel Multi-Group Fusion for Remote Sensing Scene Classification
by: Cuiping Shi, et al.
Published: (2021-12-01)

Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification
by: Biserka Petrovska, et al.
Published: (2020-07-01)

Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
by: Xingrui Yu, et al.
Published: (2017-09-01)

Lithology Classification Using TASI Thermal Infrared Hyperspectral Data with Convolutional Neural Networks
by: Huize Liu, et al.
Published: (2021-08-01)

Active Hyperspectral Sensor Based on MEMS Fabry-Pérot Interferometer
by: Teemu Kääriäinen, et al.
Published: (2019-05-01)

Remote sensing scene classification based on high-order graph convolutional network
by: Yue Gao, et al.
Published: (2021-02-01)