Daifeng Peng

According to our database, Daifeng Peng authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Adapting Segment Anything Model for Change Detection in VHR Remote Sensing Images.

Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Cost-efficient information extraction from massive remote sensing data: When weakly supervised deep learning meets remote sensing big data.

Yansheng Li, Xinwei Li, Yongjun Zhang, Daifeng Peng, Lorenzo Bruzzone

Int. J. Appl. Earth Obs. Geoinformation, June, 2023

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

Lei Ding, Kun Zhu, Daifeng Peng, Hao Tang, Kuiwu Yang, Lorenzo Bruzzone

CoRR, 2023

2022

Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images.

Daifeng Peng, Haiyan Guan, Yufu Zang, Lorenzo Bruzzone

IEEE Trans. Geosci. Remote. Sens., 2022

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

Juan Tian, Daifeng Peng, Haiyan Guan, Haiyong Ding

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.

Chuting Ge, Haiyong Ding, Iñigo Molina, Yongjian He, Daifeng Peng

Remote. Sens., 2022

Road marking extraction in UAV imagery using attentive capsule feature pyramid network.

Haiyan Guan, Xiangda Lei, Yongtao Yu, Haohao Zhao, Daifeng Peng, José Marcato Junior, Jonathan Li

Int. J. Appl. Earth Obs. Geoinformation, 2022

2021

SemiCDNet: A Semisupervised Convolutional Neural Network for Change Detection in High Resolution Remote-Sensing Images.

Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang, Haiyan Guan, Haiyong Ding, Xu Huang

IEEE Trans. Geosci. Remote. Sens., 2021

SCDNET: A novel convolutional network for semantic change detection in high resolution optical remote sensing imagery.

Daifeng Peng, Lorenzo Bruzzone, Yongjun Zhang, Haiyan Guan, Pengfei He

Int. J. Appl. Earth Obs. Geoinformation, 2021

Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images.

Jian Kang, Haiyan Guan, Daifeng Peng, Ziyi Chen

Int. J. Appl. Earth Obs. Geoinformation, 2021

2020

Robust Feature Matching with Spatial Smoothness Constraints.

Xu Huang, Xue Wan, Daifeng Peng

Remote. Sens., 2020

A Convolutional Capsule Network for Traffic-Sign Recognition Using Mobile LiDAR Data With Digital Images.

Haiyan Guan, Yongtao Yu, Daifeng Peng, Yufu Zang, JianYong Lu, Aixia Li, Jonathan Li

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.

Suoyan Pan, Haiyan Guan, Yongtao Yu, Jonathan Li, Daifeng Peng

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019

End-to-End Change Detection for High Resolution Satellite Images Using Improved UNet++.

Daifeng Peng, Yongjun Zhang, Haiyan Guan

Remote. Sens., 2019

Affine-Function Transformation-Based Object Matching for Vehicle Detection from Unmanned Aerial Vehicle Imagery.

Shuang Cao, Yongtao Yu, Haiyan Guan, Daifeng Peng, Wanqian Yan

Remote. Sens., 2019

A Mixture Likelihood Model of the Anisotropic Gaussian and Uniform Distributions for Accurate Oblique Image Point Matching.

Xunwei Xie, Yongjun Zhang, Xiang Wang, Daifeng Peng

IEEE Geosci. Remote. Sens. Lett., 2019

2018

Object-Based Change Detection for VHR Images Based on Multiscale Uncertainty Analysis.

Yongjun Zhang, Daifeng Peng, Xu Huang

IEEE Geosci. Remote. Sens. Lett., 2018