Object-Based Multi-mode SAR Image Matching
Jie Rui,Chao Wang,Hong Zhang,Bo Zhang,Fan Wang,Fei Jin +5 more
- 13 Aug 2015
- pp 600-610
TL;DR: The experimental results show that the proposed object-based SAR image matching method achieves reliable and stable matching performance, and can alleviate deformation and nonlinear distortion effects of different systems.
read more
Abstract: Owing to the effect of imaging mechanism and imaging conditions in synthetic aperture radar (SAR) image, inconsistent features and relationship correspondence constitute key problems using traditional image matching algorithms because of significant differences between the images. This study proposes an object-based SAR image matching method. Two images are matched through same ground objects, by means of property and shape information of objects, which are obtained via object extraction and morphological operations. We utilize a shape context descriptor to compare contours of objects and detected invariant control points. The experimental results show that the proposed method achieves reliable and stable matching performance, and can alleviate deformation and nonlinear distortion effects of different systems.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
References
Shape matching and object recognition using shape contexts
TL;DR: This paper presents work on computing shape models that are computationally fast and invariant basic transformations like translation, scaling and rotation, and proposes shape detection using a feature called shape context, which is descriptive of the shape of the object.
7.3K
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.
7.3K
Object based image analysis for remote sensing
TL;DR: This paper gives an overview of the development of object based methods, which aim to delineate readily usable objects from imagery while at the same time combining image processing and GIS functionalities in order to utilize spectral and contextual information in an integrative way.
4.5K
Object retrieval with large vocabularies and fast spatial matching
James Philbin,Ondrej Chum,Michael Isard,Josef Sivic,Andrew Zisserman +4 more
- 17 Jun 2007
TL;DR: To improve query performance, this work adds an efficient spatial verification stage to re-rank the results returned from the bag-of-words model and shows that this consistently improves search quality, though by less of a margin when the visual vocabulary is large.
A survey of content-based image retrieval with high-level semantics
TL;DR: This paper attempts to provide a comprehensive survey of the recent technical achievements in high-level semantic-based image retrieval, identifying five major categories of the state-of-the-art techniques in narrowing down the 'semantic gap'.
1.9K
Related Papers (5)
Cécile Barat,Christophe Ducottet,Michel Jourlin +2 more
- 24 Nov 2003
Timothy F. Cootes,Christopher J. Taylor +1 more
- 08 Dec 2001