CIOMP OpenIR
Ifrad: A fast feature descriptor for remote sensing images
Q. Feng; S. Tao; C. Liu; H. Qu and W. Xu
2021
发表期刊Remote Sensing
ISSN20724292
卷号13期号:18
摘要Feature description is a necessary process for implementing feature-based remote sensing applications. Due to the limited resources in satellite platforms and the considerable amount of image data, feature descriptionwhich is a process before feature matchinghas to be fast and reliable. Currently, the state-of-the-art feature description methods are time-consuming as they need to quantitatively describe the detected features according to the surrounding gradients or pixels. Here, we propose a novel feature descriptor called Inter-Feature Relative Azimuth and Distance (IFRAD), which will describe a feature according to its relation to other features in an image. The IFRAD will be utilized after detecting some FAST-alike features: it first selects some stable features according to criteria, then calculates their relationships, such as their relative distances and azimuths, followed by describing the relationships according to some regulations, making them distinguishable while keeping affine-invariance to some extent. Finally, a special feature-similarity evaluator is designed to match features in two images. Compared with other state-of-the-art algorithms, the proposed method has significant improvements in computational efficiency at the expense of reasonable reductions in scale invariance. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
DOI10.3390/rs13183774
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收录类别SCI ; EI
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/65310
专题中国科学院长春光学精密机械与物理研究所
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GB/T 7714
Q. Feng,S. Tao,C. Liu,et al. Ifrad: A fast feature descriptor for remote sensing images[J]. Remote Sensing,2021,13(18).
APA Q. Feng,S. Tao,C. Liu,&H. Qu and W. Xu.(2021).Ifrad: A fast feature descriptor for remote sensing images.Remote Sensing,13(18).
MLA Q. Feng,et al."Ifrad: A fast feature descriptor for remote sensing images".Remote Sensing 13.18(2021).
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