Fast Least Square Matching

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SEDAGHAT AMIN; MOHAMMADI NAZILA

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Paper Information

Journal: ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY Year:2019 | Volume:7 | Issue:1 Page(s): 193-210

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Title

Fast Least Square Matching

Author(s)

SEDAGHAT AMIN | MOHAMMADI NAZILA | Issue Writer Certificate

Keywords

Image matchingQ1

Least squareQ2

RobustnessQ1

EfficiencyQ2

Abstract

Least square matching (LSM) is one of the most accurate Image matching methods in photogrammetry and remote sensing. The main disadvantage of the LSM is its high computational complexity due to large size of observation equations. To address this problem, in this paper a novel method, called fast Least square matching (FLSM) is being presented. The main idea of the proposed FLSM is decreasing the size of the observation equations to improve the Efficiency of the matching process. For this purpose, the pixels in the matching window are ordered using a special Robustness measure. Then, a specific percent of the pixels with the highest Robustness is selected for matching process. The phase congruency and entropy measures are used to compute the proposed Robustness measure. The proposed FLSM method was successfully applied to match various synthetic and real image pairs, and the results demonstrate its capability to increase matching Efficiency. The matching results show that the proposed FLSM method is three times faster than standard LSM method.

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APA: Copy

SEDAGHAT, AMIN, & MOHAMMADI, NAZILA. (2019). Fast Least Square Matching. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, 7(1 ), 193-210. SID. https://sid.ir/paper/230046/en

Vancouver: Copy

SEDAGHAT AMIN, MOHAMMADI NAZILA. Fast Least Square Matching. ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY[Internet]. 2019;7(1 ):193-210. Available from: https://sid.ir/paper/230046/en

IEEE: Copy

AMIN SEDAGHAT, and NAZILA MOHAMMADI, “Fast Least Square Matching,” ENGINEERING JOURNAL OF GEOSPATIAL INFORMATION TECHNOLOGY, vol. 7, no. 1 , pp. 193–210, 2019, [Online]. Available: https://sid.ir/paper/230046/en

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