Daifeng Peng

Orcid: 0000-0001-8966-2956

Affiliations:
  • Nanjing University of Information Science and Technology, School of Remote Sensing and Geomatics Engineering, Nanjing, China
  • Wuhan University, China (PhD 2017)


According to our database1, Daifeng Peng authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2024

VAM-Net: Vegetation-Attentive deep network for Multi-modal fusion of visible-light and vegetation-sensitive images.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Edge-guided multi-scale foreground attention network for change detection in high resolution remote sensing images.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data.
Int. J. Appl. Earth Obs. Geoinformation, June, 2023

Adapting Segment Anything Model for Change Detection in HR Remote Sensing Images.
CoRR, 2023

2022
Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

RACDNet: Resolution- and Alignment-Aware Change Detection Network for Optical Remote Sensing Imagery.
Remote. Sens., 2022

Object-Oriented Change Detection Method Based on Spectral-Spatial-Saliency Change Information and Fuzzy Integral Decision Fusion for HR Remote Sensing Images.
Remote. Sens., 2022

Road marking extraction in UAV imagery using attentive capsule feature pyramid network.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2021

SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2021

Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Robust Feature Matching with Spatial Smoothness Constraints.
Remote. Sens., 2020

A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data With Digital Images.
IEEE Geosci. Remote. Sens. Lett., 2020

2019
A Comparative Land-Cover Classification Feature Study of Learning Algorithms: DBM, PCA, and RF Using Multispectral LiDAR Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++.
Remote. Sens., 2019

Affine-Function Transformation-Based Object Matching for Vehicle Detection from Unmanned Aerial Vehicle Imagery.
Remote. Sens., 2019

A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching.
IEEE Geosci. Remote. Sens. Lett., 2019

2018
Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis.
IEEE Geosci. Remote. Sens. Lett., 2018


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