Research on matching algorithm of UAV infrared sensor data

doi:10.6046/gtzyyg.2017.01.13

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Abstract

Low-altitude UAV remote sensing technology has become an important means of remote sensing technology. With the continuous development of the technology, its sensors have also changed from the visible ones to the multi/hyperspectral ones. However, due to the limitations of a small UAV payload on the sensors, the data quality of these new types of sensors is poor and hence it is difficult to deal with existing methods directly. Therefore, the authors studied the data obtained by UAV infrared sensors and then optimized parameters and removed gross errors based on the SIFT matching algorithm. This method has made robust matching results and can solve the key technology of the late mapping application of multi/hyperspectral data. The authors used a set of UAV infrared data to test and verify this method. The experimental results show that this method is capable of obtaining robust matching results and has a great value in improving applications of UAV multi/hyperspectral sensors.

Keywords ground-based interferometric synthetic aperture radar stepped frequency continuous wave(SFCW) frequency modulation continuous wave(FMCW) noise radar multiple input multiple output(MIMO) technology

TP751.1

Issue Date: 23 January 2017

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	Articles by authors

	LIU Bin
	GE Daqing
	LI Man
	ZHANG Ling
	WANG Yan
	GUO Xiaofang
	ZHANG Xiaobo

Cite this article:

LIU Bin,GE Daqing,LI Man, et al. Research on matching algorithm of UAV infrared sensor data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(1): 86-91.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2017.01.13 OR https://www.gtzyyg.com/EN/Y2017/V29/I1/86

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