DOI: 10.3390/rs12030540
论文题名: Image similarity metrics suitable for infrared video stabilization during active wildfire monitoring: A comparative analysis
作者: Valero M.M. ; Verstockt S. ; Mata C. ; Jimenez D. ; Queen L. ; Rios O. ; Pastor E. ; Planas E.
刊名: Remote Sensing
ISSN: 20724292
出版年: 2020
卷: 12, 期: 3 语种: 英语
英文关键词: Image registration
; Image similarity
; Infrared imagery
; Remote sensing
; Sensitivity analysis
; Video stabilization
; Wildland fire
Scopus关键词: Alignment
; Antennas
; Cost functions
; Deforestation
; Fires
; Image registration
; Motion estimation
; Remote sensing
; Sensitivity analysis
; Stabilization
; Comparative analysis
; Image similarity
; Infrared imagery
; Inter frame registrations
; Local sensitivity analysis
; State-of-the-art techniques
; Video stabilization
; Wildland fire
; Quality control
英文摘要: Aerial Thermal Infrared (TIR) imagery has demonstrated tremendous potential to monitor active forest fires and acquire detailed information about fire behavior. However, aerial video is usually unstable and requires inter-frame registration before further processing. Measurement of image misalignment is an essential operation for video stabilization. Misalignment can usually be estimated through image similarity, although image similarity metrics are also sensitive to other factors such as changes in the scene and lighting conditions. Therefore, this article presents a thorough analysis of image similarity measurement techniques useful for inter-frame registration in wildfire thermal video. Image similarity metrics most commonly and successfully employed in other fields were surveyed, adapted, benchmarked and compared. We investigated their response to different camera movement components as well as recording frequency and natural variations in fire, background and ambient conditions. The study was conducted in real video from six fire experimental scenarios, ranging from laboratory tests to large-scale controlled burns. Both Global and Local Sensitivity Analyses (GSA and LSA, respectively) were performed using state-of-the-art techniques. Based on the obtained results, two different similarity metrics are proposed to satisfy two different needs. A normalized version of Mutual Information is recommended as cost function during registration, whereas 2D correlation performed the best as quality control metric after registration. These results provide a sound basis for image alignment measurement and open the door to further developments in image registration, motion estimation and video stabilization for aerial monitoring of active wildland fires. © 2020 by the authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159939
Appears in Collections: 气候变化与战略
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作者单位: Centre for Technological Risk Studies, Universitat Politècnica de Catalunya, Barcelona, 08034, Spain; IDLab, Ghent University-imec, Ghent, 9502, Belgium; Missoula Fire Sciences Lab, US Forest Service Rocky Mountain Research Station, Missoula, MT 59808, United States; National Center for Landscape Fire Analysis, University of Montana, Missoula, MT 59812, United States
Recommended Citation:
Valero M.M.,Verstockt S.,Mata C.,et al. Image similarity metrics suitable for infrared video stabilization during active wildfire monitoring: A comparative analysis[J]. Remote Sensing,2020-01-01,12(3)