Object-Based Attention Mechanism for Color Calibration of UAV Remote Sensing Images in Precision Agriculture

Author:

Huang Huasheng1ORCID,Tang Yu1ORCID,Tan Zhiping2,Zhuang Jiajun3ORCID,Hou Chaojun3,Chen Weizhao2,Ren Jinchang4ORCID

Affiliation:

1. College of Computer Sciences and the Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China

2. Academy of Interdisciplinary Studies, Guangdong Polytechnic Normal University, Guangzhou, China

3. Academy of Contemporary Agriculture Engineering Innovations, Zhongkai University of Agriculture and Engineering, Guangzhou, China

4. College of Computer Sciences, Guangdong Polytechnic Normal University, Guangzhou, China

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Planned Science and Technology Project of Guangdong Province, China

Natural Science Foundation of Guangdong Province, China

Key Project of Universities in Guangdong Province, China

Innovation Team Project of Universities in Guangdong Province, China

Planned Science and Technology Project of Guangzhou, China

Basic and Applied Basic Research Fund in Guangdong Province, China

Basic and Applied Basic Research Project of Guangzhou City, China

Project of Educational Commission of Guangdong Province, China

Rural Revitalization Strategy Project of Guangdong Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Reference36 articles.

1. HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

2. Deep color calibration for UAV imagery in crop monitoring using semantic style transfer with local to global attention;huang;Int J Appl Earth Observ Geoinf,2021

3. Deep Exemplar-based Color Transfer for 3D Model

4. Artistic style transfer with internal-external learning and contrastive learning;chen;Proc Adv Neural Inf Process Syst,2021

5. A two-stage classification approach for the detection of spider mite- infested cotton using UAV multispectral imagery

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