Comparisons of feature extraction algorithm based on unmanned aerial vehicle image
Feature point extraction technology has become a research hotspot in the photogrammetry and computer vision. The commonly used point feature extraction operators are SIFT operator, Forstner operator, Harris operator and Moravec operator, etc. With the high spatial resolution characteristics, UAV ima...
Main Authors: | Xi Wenfei, Shi Zhengtao, Li Dongsheng |
---|---|
Format: | Article |
Language: | English |
Published: |
De Gruyter
2017-07-01
|
Series: | Open Physics |
Subjects: | |
Online Access: | https://doi.org/10.1515/phys-2017-0053 |
Similar Items
-
Research on the method of information system risk state estimation based on clustering particle filter
by: Cui Jia, et al.
Published: (2017-05-01) -
A novel fast target tracking method for UAV aerial image
by: Jianfang Liu, et al.
Published: (2017-06-01) -
Expanded Study on the accumulation effect of tourism under the constraint of structure
by: Wang Qiang, et al.
Published: (2017-05-01) -
Detection of vertical disparity in three-dimensional visualizations
by: Napieralski Piotr, et al.
Published: (2017-12-01) -
Semi-supervised Classification Based Mixed Sampling for Imbalanced Data
by: Zhao Jianhua, et al.
Published: (2019-12-01)