Runway Detection in SAR Images Based on Fusion Sparse Representation and Semantic Spatial Matching
In this paper, a novel algorithm is presented for runway detection in synthetic aperture radar images. It involves two steps: runway assessment and confirmation. In the first step, the primary runway (PR) and the auxiliary runway (AR) of the airport are assessed by using a sparse representation fusi...
Main Authors: | Wentao Lv, Kaiyan Dai, Long Wu, Xiaocheng Yang, Weiqiang Xu |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8361411/ |
Similar Items
-
Cross-Media Semantic Matching based on Sparse Representation
by: Gongwen Xu*, et al.
Published: (2019-01-01) -
Sparse Representation for Crowd Attributes Recognition
by: Aliyu Nuhu Shuaibu, et al.
Published: (2017-01-01) -
Two-Branch Convolutional Sparse Representation for Stereo Matching
by: Chunbo Cheng, et al.
Published: (2021-01-01) -
Runway length requirements for airport design
Published: (1965) -
Memory Model for Morphological Semantics of Visual Stimuli Using Sparse Distributed Representation
by: Kyuchang Kang, et al.
Published: (2021-11-01)