Automatic Airport Recognition Based on Saliency Detection and Semantic Information
Effectively identifying an airport from satellite and aerial imagery is a challenging task. Traditional methods mainly focus on the use of multiple features for the detection of runways and some also adapt knowledge of airports, but the results are unsatisfactory and the usage limited. A new method...
Main Authors: | Yetianjian Wang, Li Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2016-07-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | http://www.mdpi.com/2220-9964/5/7/115 |
Similar Items
-
BOVW FOR CLASSIFICATION IN GEOMETRICS SHAPES
by: Baldemar ZURITA, et al.
Published: (2018-12-01) -
Color-Boosted Saliency-Guided Rotation Invariant Bag of Visual Words Representation with Parameter Transfer for Cross-Domain Scene-Level Classification
by: Li Yan, et al.
Published: (2018-04-01) -
Saliency Guided Self-Attention Network for Weakly and Semi-Supervised Semantic Segmentation
by: Qi Yao, et al.
Published: (2020-01-01) -
Loop Closure Detection Via Maximization of Mutual Information
by: Ge Zhang, et al.
Published: (2019-01-01) -
Co-Saliency Detection for RGBD Images Based on Effective Propagation Mechanism
by: Zhigang Jin, et al.
Published: (2019-01-01)