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A Study on Automatic Uav Image Mosaic Method for Paroxysmal Disaster : Volume Xxxix-b6, Issue 1 (27/07/2012)

By Li, M.

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Book Id: WPLBN0004016786
Format Type: PDF Article :
File Size: Pages 6
Reproduction Date: 2015

Title: A Study on Automatic Uav Image Mosaic Method for Paroxysmal Disaster : Volume Xxxix-b6, Issue 1 (27/07/2012)  
Author: Li, M.
Volume: Vol. XXXIX-B6, Issue 1
Language: English
Subject: Science, Isprs, International
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus Publications
Historic
Publication Date:
2012
Publisher: Copernicus Publications, Göttingen, Germany
Member Page: copernicus

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Li, D., Fan, D., & Li, M. (2012). A Study on Automatic Uav Image Mosaic Method for Paroxysmal Disaster : Volume Xxxix-b6, Issue 1 (27/07/2012). Retrieved from http://community.worldlibrary.net/


Description
Description: School of Remote Sensing and Information Engineering, Wuhan University, NO.129, Luoyu Road, Wuhan 430079, China. As everyone knows, some paroxysmal disasters, such as flood, can do a great damage in short time. Timely, accurate, and fast acquisition of sufficient disaster information is the prerequisite facing with disaster emergency. Due to UAV's superiority in acquiring disaster data, UAV, a rising remote sensed data has gradually become the first choice for departments of disaster prevention and mitigation to collect the disaster information at first hand. In this paper, a novel and fast strategy is proposed for registering and mosaicing UAV data. Firstly, the original images will not be zoomed in to be 2 times larger ones at the initial course of SIFT operator, and the total number of the pyramid octaves in scale space is reduced to speed up the matching process; sequentially, RANSAC(Random Sample Consensus) is used to eliminate the mismatching tie points. Then, bundle adjustment is introduced to solve all of the camera geometrical calibration parameters jointly. Finally, the best seamline searching strategy based on dynamic schedule is applied to solve the dodging problem arose by aeroplane's side-looking. Beside, a weighted fusion estimation algorithm is employed to eliminate the fusion ghost phenomenon.

Summary
A STUDY ON AUTOMATIC UAV IMAGE MOSAIC METHOD FOR PAROXYSMAL DISASTER

 

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