Local Deep Hashing Matching of Aerial Images Based on Relative Distance and Absolute Distance Constraints

Local Deep Hashing Matching of Aerial Images Based on Relative Distance and Absolute Distance Constraints

Aerial images have features of high resolution, complex background, and usually require large amounts of calculation, however, most algorithms used in matching of aerial images adopt the shallow hand-crafted features expressed as floating-point descriptors (e.g., SIFT (Scale-invariant Feature Transf...

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Bibliographic Details
Main Authors: Suting Chen, Xin Li, Yanyan Zhang, Rui Feng, Chuang Zhang
Format: Article
Language:English
Published: MDPI AG 2017-12-01
Series:Remote Sensing
Subjects:
aerial matching
overlap rate
deep learning
local features
hash learning
absolute distance constraints
Online Access:https://www.mdpi.com/2072-4292/9/12/1244

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