Scene-Level Geographic Image Classification Based on a Covariance Descriptor Using Supervised Collaborative Kernel Coding
Scene-level geographic image classification has been a very challenging problem and has become a research focus in recent years. This paper develops a supervised collaborative kernel coding method based on a covariance descriptor (covd) for scene-level geographic image classification. First, covd is...
Main Authors: | Chunwei Yang, Huaping Liu, Shicheng Wang, Shouyi Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-03-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/16/3/392 |
Similar Items
-
A 3D Surface Matching Method Using Keypoint- Based Covariance Matrix Descriptors
by: Xiong Fengguang, et al.
Published: (2017-01-01) -
Matching Algorithm of 3D Point Clouds Based on Multiscale Features and Covariance Matrix Descriptors
by: Bin Lu, et al.
Published: (2019-01-01) -
Acoustic Scene Classification Using Efficient Summary Statistics and Multiple Spectro-Temporal Descriptor Fusion
by: Jiaxing Ye, et al.
Published: (2018-08-01) -
Stable descriptors in image recognition tasks
by: V. B. Melekhin, et al.
Published: (2020-10-01) -
Indoor versus outdoor scene recognition for navigation of a micro aerial vehicle using spatial color gist wavelet descriptors
by: Anitha Ganesan, et al.
Published: (2019-11-01)