Scene classification using local and global features with collaborative representation fusion

By Jinyi Zou, Wei Li, Cheng Chen, Qian Du. 2016

158 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Gong Cheng
2. Junwei Han
3. Xiwen Yao
4. Xuelong Li
5. Jocelyn Chanussot
6. Lei Guo
7. Qi Wang
8. Peicheng Zhou

In Media Technology

1. Gong Cheng
2. Junwei Han
3. Xiwen Yao
4. Xuelong Li
5. Jocelyn Chanussot
6. Lei Guo
7. Qi Wang
8. Shaoteng Liu

Citations in the corpus

• Scene Classification With Recurrent Attention of VHR Remote Sensing Images (2019, background): “of multiple different features is considered as a promising approach to seek further promotion [28], [31], [32].”
• Deep Feature Fusion for VHR Remote Sensing Scene Classification (2017, background): “More recently, the research in [29] proposed the combination of the local and global features to calculate the BoVW.”
• When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs (2018, background): “crafted features, color feature, texture feature [16]–[18], [23], and histogram of oriented gradients-based shape descrip-”
• Hyperspectral Image Classification—Traditional to Deep Models: A Survey for Future Prospects (2021, unknown): “image classification [30], [66], [76], [78]–[84].”