Synthetic aperture lidar as a future tool for earth observation

Turbide, Simon; Marchese, Linda; Terroux, Marc; Bergeron, Alain

doi:10.1117/12.2304256

Cited by 9 publications

(7 citation statements)

References 5 publications

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“…This principle has been used in many fields, such as for synthetic aperture radar (SAR) [1], [2], [3], synthetic aperture radio telescopes (SART) [4], [5], interferometric synthetic aperture microscopy (ISAM) [6], synthetic aperture sonar (SAS) [7], [8], synthetic aperture ultrasound (SAU) [9], [10], and synthetic aperture LiDAR (SAL) / synthetic aperture imaging laser (SAIL) [11], [12].…”

Section: Introductionmentioning

confidence: 99%

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

2019

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Synthetic apertures find applications in many fields, such as radar, radio telescopes, microscopy, sonar, ultrasound, LiDAR, and optical imaging. They approximate the signal of a single hypothetical wide aperture sensor with either an array of static small aperture sensors or a single moving small aperture sensor. Common sense in synthetic aperture sampling is that a dense sampling pattern within a wide aperture is required to reconstruct a clear signal. In this article we show that there exists practical limits to both, synthetic aperture size and number of samples for the application of occlusion removal. This leads to an understanding on how to design synthetic aperture sampling patterns and sensors in a most optimal and practically efficient way. We apply our findings to airborne optical sectioning which uses camera drones and synthetic aperture imaging to computationally remove occluding vegetation or trees for inspecting ground surfaces.

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Section: Introductionmentioning

confidence: 99%

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

2019

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“…Laboratory tests have been conducted with infrared synthetic aperture lidars suggesting that a synthetic aperture lidar could produce images with a resolution of less than a metre and sub-millimetre modelling precision (Terroux et al 2017), a vast improvement over current spaceborne lidar instruments, which provide resolutions of around 25 m, such as the GEDI instrument on the ISS (World Meteorological Organisation 2020).…”

Section: Synthetic Aperture Radar and Lidarmentioning

confidence: 99%

Using Satellite Data for CBRN (Chemical, Biological, Radiological, and Nuclear) Threat Detection, Monitoring, and Modelling

2021

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CBRN (Chemical, Biological, Radiological, and Nuclear) threats are becoming more prevalent, as more entities gain access to modern weapons and industrial technologies and chemicals. This has produced a need for improvements to modelling, detection, and monitoring of these events. While there are currently no dedicated satellites for CBRN purposes, there are a wide range of possibilities for satellite data to contribute to this field, from atmospheric composition and chemical detection to cloud cover, land mapping, and surface property measurements. This study looks at currently available satellite data, including meteorological data such as wind and cloud profiles, surface properties like temperature and humidity, chemical detection, and sounding. Results of this survey revealed several gaps in the available data, particularly concerning biological and radiological detection. The results also suggest that publicly available satellite data largely does not meet the requirements of spatial resolution, coverage, and latency that CBRN detection requires, outside of providing terrain use and building height data for constructing models. Lastly, the study evaluates upcoming instruments, platforms, and satellite technologies to gauge the impact these developments will have in the near future. Improvements in spatial and temporal resolution as well as latency are already becoming possible, and new instruments will fill in the gaps in detection by imaging a wider range of chemicals and other agents and by collecting new data types. This study shows that with developments coming within the next decade, satellites should begin to provide valuable augmentations to CBRN event detection and monitoring. Article Highlights There is a wide range of existing satellite data in fields that are of interest to CBRN detection and monitoring. The data is mostly of insufficient quality (resolution or latency) for the demanding requirements of CBRN modelling for incident control. Future technologies and platforms will improve resolution and latency, making satellite data more viable in the CBRN management field

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“…Physical size limitations of sensors are overcome by computationally combining multiple measurements of small sensors to improve signal quality. This principle has found application in various fields, including (but not limited) to radar , radio telescopes [44,45], interferometric microscopy [46], sonar [47][48][49][50], ultrasound [51,52], LiDAR [53,54], and imaging [55][56][57][58][59][60][61][62]. AOS utilizes this principle in the optical domain.…”

Section: Introductionmentioning

confidence: 99%

Synthetic Aperture Anomaly Imaging for Through-Foliage Target Detection

Amala Arokia Nathan,

Bimber

2023

Remote Sensing

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The presence of foliage is a serious problem for target detection with drones in application fields such as search and rescue, surveillance, early wildfire detection, or wildlife observation. Visual as well as automatic computational methods, such as classification and anomaly detection, fail in the presence of strong occlusion. Previous research has shown that both benefit from integrating multi-perspective images recorded over a wide synthetic aperture to suppress occlusion. In particular, commonly applied anomaly detection methods can be improved by the more uniform background statistics of integral images. In this article, we demonstrate that integrating the results of anomaly detection applied to single aerial images instead of applying anomaly detection to integral images is significantly more effective and increases target visibility as well as precision by an additional 20% on average in our experiments. This results in enhanced occlusion removal and outlier suppression, and consequently, in higher chances of detecting targets that remain otherwise occluded. We present results from simulations and field experiments, as well as a real-time application that makes our findings available to blue-light organizations and others using commercial drone platforms. Furthermore, we outline that our method is applicable for 2D images as well as for 3D volumes.

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Synthetic aperture lidar as a future tool for earth observation

Cited by 9 publications

References 5 publications

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

A Statistical View on Synthetic Aperture Imaging for Occlusion Removal

Using Satellite Data for CBRN (Chemical, Biological, Radiological, and Nuclear) Threat Detection, Monitoring, and Modelling

Synthetic Aperture Anomaly Imaging for Through-Foliage Target Detection

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