Resolution-Agnostic Remote Sensing Scene Classification With Implicit Neural Representations-Reference-Cited by-同舟云学术

Resolution-Agnostic Remote Sensing Scene Classification With Implicit Neural Representations

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Chen Keyan¹^ORCID,Li Wenyuan¹^ORCID,Chen Jianqi¹^ORCID,Zou Zhengxia²^ORCID,Shi Zhenwei¹^ORCID

Affiliation:

1. Image Processing Center, School of Astronautics, the Beijing Key Laboratory of Digital Media, and the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China

2. Shanghai Artificial Intelligence Laboratory, Shanghai, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/09980428.pdf?arnumber=9980428

Reference19 articles.

1. Implicit neural representations with periodic activation functions;sitzmann;Proc Adv Neural Inf Process Syst,2020

2. Fourier features let networks learn high frequency functions in low dimensional domains;tancik;Proc Adv Neural Inf Process Syst,2020

3. Perceptual Losses for Real-Time Style Transfer and Super-Resolution

4. From data to functa: Your data point is a function and you can treat it like one;dupont;arXiv 2201 12204,2022

5. Scene Classification Based on Multiscale Convolutional Neural Network

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