Dilong Li

Orcid: 0000-0002-5826-5568

According to our database1, Dilong Li authored at least 27 papers between 2014 and 2023.

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

Timeline

Legend:

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Bibliography

2023
DPENet: Dual-path extraction network based on CNN and transformer for accurate building and road extraction.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Building and road detection from remote sensing images based on weights adaptive multi-teacher collaborative distillation using a fused knowledge.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

Multiple super-agile satellite collaborative mission planning for area target imaging.
Int. J. Appl. Earth Obs. Geoinformation, March, 2023

BrGAN: Blur Resist Generative Adversarial Network With Multiple Joint Dilated Residual Convolutions for Chlorophyll Color Image Restoration.
IEEE Trans. Geosci. Remote. Sens., 2023

Dynamic Clustering Transformer Network for Point Cloud Segmentation.
CoRR, 2023

2022
CCapFPN: A Context-Augmented Capsule Feature Pyramid Network for Pavement Crack Detection.
IEEE Trans. Intell. Transp. Syst., 2022

RoadCapsFPN: Capsule Feature Pyramid Network for Road Extraction From VHR Optical Remote Sensing Imagery.
IEEE Trans. Intell. Transp. Syst., 2022

A Mission Planning Modeling Method of Multipoint Target Imaging Within a Single Pass for Super-Agile Earth Observation Satellite.
IEEE Syst. J., 2022

CapViT: Cross-context capsule vision transformers for land cover classification with airborne multispectral LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2022

AGFP-Net: Attentive geometric feature pyramid network for land cover classification using airborne multispectral LiDAR data.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Road extraction in remote sensing data: A survey.
Int. J. Appl. Earth Obs. Geoinformation, 2022

JFT: A Robust Visual Tracker Based on Jitter Factor and Global Registration.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

An Infrared Moving Small Object Detection Method Based on Trajectory Growth.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021
A Cascaded Deep Convolutional Network for Vehicle Logo Recognition From Frontal and Rear Images of Vehicles.
IEEE Trans. Intell. Transp. Syst., 2021

Multispectral LiDAR Point Cloud Classification Using SE-PointNet++.
Remote. Sens., 2021

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images.
Remote. Sens., 2021

Capsule Feature Pyramid Network for Building Footprint Extraction From High-Resolution Aerial Imagery.
IEEE Geosci. Remote. Sens. Lett., 2021

Airborne multispectral LiDAR point cloud classification with a feature Reasoning-based graph convolution network.
Int. J. Appl. Earth Obs. Geoinformation, 2021

2020
Building Extraction from Airborne Multi-Spectral LiDAR Point Clouds Based on Graph Geometric Moments Convolutional Neural Networks.
Remote. Sens., 2020

Road Manhole Cover Delineation Using Mobile Laser Scanning Point Cloud Data.
IEEE Geosci. Remote. Sens. Lett., 2020

3-D Feature Matching for Point Cloud Object Extraction.
IEEE Geosci. Remote. Sens. Lett., 2020

A Hybrid Capsule Network for Land Cover Classification Using Multispectral LiDAR Data.
IEEE Geosci. Remote. Sens. Lett., 2020

GGM-Net: Graph Geometric Moments Convolution Neural Network for Point Cloud Shape Classification.
IEEE Access, 2020

2019
Vehicle Detection From High-Resolution Remote Sensing Imagery Using Convolutional Capsule Networks.
IEEE Geosci. Remote. Sens. Lett., 2019

2018
Robust Traffic-Sign Detection and Classification Using Mobile LiDAR Data With Digital Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2015
Evaluation of regional-scale snow albedo characteristics during winter season from 2003 to 2014.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Semisupervised Classification for Hyperspectral Imagery With Transductive Multiple-Kernel Learning.
IEEE Geosci. Remote. Sens. Lett., 2014


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