Experimental Data for the Paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval'
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下载链接：
https://zenodo.org/record/4481470
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资源简介：
Experimental Data for the Paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval'
In this repository, we provide the implementation of the algorithms developed in the paper 'Rotation-Aware Representation Learning for Remote Sensing Image Retrieval' along with the experimental results.
The goal is to provide the elements needed to validate and reproduce our research work as well as all the tools needed to reach the same conclusions as we did.
The licences valid for the elements of this repository are discussed under point "2. Licenses" below.
1. Structure
The repository contains the following items:
"data" - the results from our experiments
"lib" - some external functions used in the experiments
"make_data" - the training and test data
"fmt-vgg.py" - the FMT-RAN model
"stn.py" - the STN module of ST-RAN
"st_ran.py" - the ST-RAN model
"README" - this text here.
"LICENSE" - the MIT License
2. License
The following licenses apply for the files and folders:
The files "stn.py" and "spatial_transformer_tutorial.py" in the folder "lib" are from the GitHub repository https://github.com/GHamrouni/stn-tuto and therefore are under the copyright of its repository owner Ghassen Hamrouni.
All other files are under the MIT License.
The MIT License is included here as file "LICENSE".
3. Contact
1. Dr. Zhize WU, wuzz@hfuu.edu.cn
2. Dr. Thomas WEISE, tweise@hfuu.edu.cn, tweise@ustc.edu.cn
Institute of Applied Optimization,
School of Artificial Intelligence and Big Data,
Hefei University, South Campus 2, Jinxiu Dadao 99,
Hefei Economic and Technological Development Area,
Shushan District, Hefei 230601, Anhui, China
创建时间：
2021-01-30
