PIF-Net: A Deep Point-Image Fusion Network for Multimodality Semantic Segmentation of Very High-Resolution Imagery and Aerial Point Cloud-Reference-Cited by-同舟云学术

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PIF-Net: A Deep Point-Image Fusion Network for Multimodality Semantic Segmentation of Very High-Resolution Imagery and Aerial Point Cloud

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Guo Zhou¹^ORCID,Xu Rui¹^ORCID,Feng Chen-Chieh²^ORCID,Zeng Zhao¹^ORCID

Affiliation:

1. School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China

2. Department of Geography, National University of Singapore, Cluny Road, Singapore

Funder

National Science Foundation of China

Singapore Ministry of Education Academic Research Fund Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10356140.pdf?arnumber=10356140

Reference69 articles.

1. Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

2. Change Detection From Very-High-Spatial-Resolution Optical Remote Sensing Images: Methods, applications, and future directions

3. Aircraft Target Detection from Spaceborne SAR Image

4. Semantic Segmentation and Scene Reconstruction for Traffic Simulation Using CNN

5. Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks

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