| Title |
An Ensemble Method for Multiple Source Images Fusion in Smart City |
| ID_Doc |
38137 |
| Authors |
Sun, XB; Li, SX; Lei, JG |
| Title |
An Ensemble Method for Multiple Source Images Fusion in Smart City |
| Year |
2017 |
| Published |
|
| DOI |
|
| Abstract |
Facing to the huge amount of data in the construction of smart city, it is a severe challenge for image fusion technology to acquire the fast information processing ability. How to optimize computation process and ensure the calculation accuracy is one of problems to be solved for massive image data fusion of the smart city. In this paper, it is proposed that image fusion and image stitching technology are combined together to build the big data computing platform of urban images. It is known that there are more data to be dealt for the image pixels-level fusion compared to feature fusion. Urban data are existed in the variation modes and shortage of content correlation. The data are sparse for city global information, but there may be redundant information for local urban region. So, the urban image fusion must meet the requirement of getting requisite and accurate information for the big data computing platform. The improved simple SIFT image registration algorithm (called S-SIFT algorithm) uses SIFT feature extraction method for getting feature point location and scale information, and some of feature point pairs are randomly selected out. The improvement of S-SIFT algorithm is reflected in reducing the time consumed by the feature description, thereby speeding up the image registration process. The ensemble method provides technical support for low cost image big data platform with high reliability operation. |
| Author Keywords |
Multiple images fusion; Image registration; Feature description; SIFT; Ensemble method |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000427082206097 |
| WoS Category |
Automation & Control Systems; Engineering, Electrical & Electronic |
| Research Area |
Automation & Control Systems; Engineering |
| PDF |
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