Speed vector measurement of moving objects using JERS-1/OPS data

Takasaki, Kenji; Sugimura, Toshiro; Tanaka, S.

doi:10.1109/igarss.1993.322292

Cited by 4 publications

(3 citation statements)

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“…Indeed, the specific viewing geometry of the satellite radiometers offers time-lagged acquisitions for different spectral channels. Near-simultaneous measurements can thus be exploited to estimate local displacements, such as moving objects on the sea surface, river ice debris (Kääb et al (2013)), ships (Takasaki et al (1994)), surface wave fronts (De Michele et al (2012)), but also wave breakers that often manifest in satellite optical images as localized bright events. An overview of motion detection methods from near-simultaneous satellite images is given in Kääb and Leprince (2014).…”

Section: Introductionmentioning

confidence: 99%

Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities

Yurovskaya

Kudryavtsev

Chapron

et al. 2019

Remote Sensing of Environment

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The Sentinel-2 MultiSpectral Instrument (MSI) collects multiple spectral band images, corresponding to specific sensing wavelengths and spatial resolutions, i.e. 10 m, 20 m and 60 m, respectively. Images are collected one at the time with a given time-lag between observations. Under favorable conditions, spatiotemporal characteristics of propagating ocean surface waves can thus uniquely be retrieved. A method for surface current vector field reconstruction is then developed. Demonstrated over different deep ocean regions, the retrieved surface current fields well compare with medium-resolution ocean circulation model or derived-velocities from altimeter measurements. At finer scales, the surface wave-conservation law is recovered, with the associated relationship between current vorticity and wave-ray curvature. Over shallow water regions, the wave propagation properties well follow sea depth variations, consistent with ETOPO1 data. Finally, time-lag between detector bands can also be exploited to estimate speed and direction properties of detected surface wave breaking whitecaps. An analysis of velocity reconstruction errors further reveals that Sentinel-2 MSI inter-channel co-registration is realized with an accuracy better than 0.1 pixel. Overall, these results confirm very promising capabilities of optical imagery to provide direct surface current velocity measurements from space, over relatively large areas, O(100 km), with a spatial resolution down to O(1 km). Highlights► A method is developed for surface current reconstruction from Sentinel-2 images ► It is based on cross-spectral phase estimation between images from different bands ► Retrieved current fields well compare with model and altimeter measurements ► Over shallow water regions, sea depth is reconstructed ► Inter-channel time delay is used to estimate speed and direction of large whitecaps

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Section: Introductionmentioning

confidence: 99%

Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities

Yurovskaya

Kudryavtsev

Chapron

et al. 2019

Remote Sensing of Environment

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“…In that respect, tracking cars is simplified using airborne along-track stereo (or even video), which typically has much smaller time-lags and higher spatial resolution (Reinartz et al 2006). Spaceborne time-lags of minutes have seldom been used for vehicle motion (Matthews 2005;Takasaki et al 1993). However, even if ships appear near-perfect targets for such tracking, their matching can be complicated by differences in sun glitter present in the stereo images (Matthews 2005;Matthews and Awaji 2010).…”

Section: Vehicles From Minute-scale Time-lagsmentioning

confidence: 99%

“…The present overview focuses on optical data with airborne and spaceborne time-lags on the order of milliseconds to minutes. A few related studies are currently available with specific applications to river ice debris (Beltaos and Kääb 2014;Kääb et al 2013; Kääb and Prowse 2011), ships (Takasaki et al 1993), cars (Reinartz et al 2006), sun glitter (Matthews and Awaji 2010), and waves (De Michele et al 2012). These studies are referred to in more detail later in this contribution.…”

Section: Introductionmentioning

confidence: 99%

Motion detection using near-simultaneous satellite acquisitions

Kääb

Leprince

2014

Remote Sensing of Environment

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A number of acquisition constellations for airborne or spaceborne optical images involve small time-lags and produce near-simultaneous images, a type of data which has thus far been little exploited to detect or quantify target motion at the Earth's surface. These time-lag constellations were for the most part not even meant to exhibit motion tracking capabilities, or these capabilities were considered a drawback. In this contribution, we give the first systematic overview of the methods and issues involved in exploiting near-simultaneous airborne and satellite acquisitions. We first cover the category of the near-simultaneous acquisitions produced by individual stereo sensors, typically designed for topographic mapping, with a time-lag on the order of a minute. Over this time period, we demonstrate that the movement of river ice debris, sea ice floes or suspended sediments can be tracked, and we estimate the corresponding water surface velocity fields. Similarly, we assess cloud motion vector fields and vehicle trajectories. A second category of near-simultaneous acquisitions, with much smaller time-lags of at most a few seconds, is associated with along-track offsets of detector lines in the focal plane of pushbroom systems. These constellations are demonstrated here to be suitable to detect motion of fast vehicles, such as cars and airplanes, or, for instance, ocean waves. Acquisition delays are, third, also produced by other constellations such as 'trains' of satellites following each other and leading to time-lags of minutes to tens of minutes, which are in this contribution used to track icebergs and features of floating ice crystals on the sea, and an algae bloom. For all acquisition categories, the higher the spatial resolution of the data and the longer the time-lag, the smaller the minimum speed that can be detected.

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Motion Detection from Satellite Images Using FFT Based Gradient Correlation

Teng

Luo

et al. 2018

4th International Symposium of Space Optical Instruments and Applications

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Speed vector measurement of moving objects using JERS-1/OPS data

Cited by 4 publications

References 0 publications

Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities

Ocean surface current retrieval from space: The Sentinel-2 multispectral capabilities

Motion detection using near-simultaneous satellite acquisitions

Motion Detection from Satellite Images Using FFT Based Gradient Correlation

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