A High Spatial Resolution Aerial Image Dataset and an Efficient Scene Classification Model
Author:
Affiliation:
1. College of Surveying and Geo-Informatics, Tongji University, Shanghai, China
Funder
Key Project of Shanghai Science and Technology Innovation Action
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/36/10354519/10479472.pdf?arnumber=10479472
Reference59 articles.
1. Very High Resolution Remote Sensing Imagery Classification Using a Fusion of Random Forest and Deep Learning Technique—Subtropical Area for Example
2. Hierarchical Segmentation Evaluation of Region-Based Image Hierarchy
3. High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields
4. NaSC-TG2: Natural Scene Classification With Tiangong-2 Remotely Sensed Imagery
5. Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Few-Shot Remote Sensing Scene Classification via Subspace Based on Multiscale Feature Learning;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
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