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Frontiers in Signal Processing
FSP > Volume 5, Number 3, July 2021

Building Recognition System Based on Improved SIFT Algorithm and Positioning Information

Download PDF  (330.4 KB)PP. 52-57,  Pub. Date:August 6, 2021
DOI: 10.22606/fsp.2021.53002

Author(s)
Tao Liu, Feng Jiang, Yu Gao
Affiliation(s)
College of Electronic and Information, Southwest Minzu University, Sichuan Chengdu, China
College of Electronic and Information, Southwest Minzu University, Sichuan Chengdu, China
The Australian National University, Canberra, Australia
Abstract
In order to solve the general problem, that is, the accurate recognition rate is low in a small extent or when the image resources are few and scattered. This article puts forward a building recognition system that combines GPS positioning information with an improved SIFT algorithm, and adds a pre-processing mechanism to predict the possibility of the building existence in the system, which further reduces mismatch and improves response speed. The final verification shows that this research is actually effective.
Keywords
building recognition; SIFT feature; straight line detection; Canny edge detection; feature matching
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