Michael Denbina | Jet Propulsion Laboratory, California Institute of Technology (original) (raw)

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Papers by Michael Denbina

ISPRS Journal of Photogrammetry and Remote Sensing, 2016

2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016

Canadian Journal of Remote Sensing, 2014

Iceberg monitoring, as well as maritime surveillance in general, is an important application of s... more Iceberg monitoring, as well as maritime surveillance in general, is an important application of synthetic aperture radar (SAR), and is a stated objective of the Radarsat Constellation, the next generation of Canada's Radarsat satellites. In this paper, we simulate Radarsat Constelation data in a number of different imaging modes, using Radarsat-2 single-look complex data covering a study area in the Labrador Sea. We test the iceberg detection performance of both linear dual-pol data as well as compact polarimetry, a novel SAR architecture that transmits circular polarization rather than the traditional horizontal or vertical polarizations. In doing so, it can provide polarimetric information that was previously inaccessible to dual-pol SAR data, while retaining a wider swath width than quad-pol data. We use the likelihood ratio test method to calculate a decision variable image for each of a number of different dual-pol and compact configurations, then analyze the detection performance using 25 validated iceberg locations spread across 12 different scenes. To study the effects of incidence angle on detection performance, we split the data into different incidence angle categories, then compared the detection performance (number of missed targets, and number of false alarms) of compact and linear dual-pol data in each incidence angle category. We also generated receiver operating characteristic (ROC) curves, showing the probability of missed detection vs. probability of false alarm for each target, then calculated the median ROC curve for each incidence angle category. We found that compared to the linear data, the compact data missed fewer targets, and detected a greater number of pixels of detected targets, for most of the incidence angles and imaging modes tested. Compact polarimetry seems to be a promising choice for iceberg detection applications.

2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Http Dx Doi Org 10 1080 07055900 2012 733307, Nov 2, 2012

In recent years, the use of synthetic aperture radar (SAR) for iceberg detection has been increas... more In recent years, the use of synthetic aperture radar (SAR) for iceberg detection has been increasing thanks to the greater availability and coverage of SAR data, particularly polarimetric data. Greater amounts of polarimetric information can increase detection performance, preventing false alarms and missed detections. However, quadpolarization (quad-pol) SAR systems have increased data rate and power usage requirements, causing quad-pol modes to generally have half the swath width of dual-polarization (dual-pol) modes. Compact polarimetry is a compromise that allows the approximation of quad-pol information (referred to as "pseudo quad-pol") using a dualpol SAR. In this paper, using compact polarimetric data simulated from RADARSAT-2 quad-pol imagery, we show how pseudo quad-pol data can be used for iceberg detection using the likelihood ratio test method. We show that use of the pseudo quad-pol HV intensity can augment the detection performance of a compact polarimetric SAR system. We also compare the performance of the various compact polarimetric configurations to linearly polarized dual-pol and quad-pol data.

Canadian Journal of Remote Sensing, 2015

Many applications require bare-earth Digital Terrain Models (DTMs) in the presence of forest cano... more Many applications require bare-earth Digital Terrain Models (DTMs) in the presence of forest canopy. L-Band is an attractive candidate, but the derived interferometric phase represents a combination of ground and volume scattering contributions from the canopy above. The use of PolInSAR techniques, and the Random Volume Over Ground (RVOG) Model has had considerable success in model inversion studies where the objective has been to extract tree height. A major problem for the robust application of this technique is the presence of temporal decorrelation, caused by the use of repeat-pass interferometry. In this paper we will present the current results of canopy height and DTM estimation in forested areas using an experimental airborne, single-pass, L-Band PolInSAR system for which temporal decorrelation is not an issue.

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009

ABSTRACT

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015

ABSTRACT Compact polarimetry (CP) synthetic aperture radar (SAR) is a form of coherent dual-pol S... more ABSTRACT Compact polarimetry (CP) synthetic aperture radar (SAR) is a form of coherent dual-pol SAR that has been shown to have great potential for maritime surveillance applications such as ship and ice detection. In this paper, we demonstrate the potential of CP data for oil spill characterization. As the availability of CP data is limited at this time, we simulate CP image data from UAVSAR L-Band quad-polarized images. We reconstruct quad-pol SAR data (termed pseudo-quad) from these simulated CP SAR data, and calculate an oil–water mixing index, termed Mdex. We show that the differences between the pseudo-quad and quad-pol Mdex maps are negligible. This contributes to the case that CP SAR has great potential for multiple applications in maritime surveillance.

IEEE Transactions on Geoscience and Remote Sensing, 2000

Atmosphere-Ocean, 2012

IEEE Transactions on Geoscience and Remote Sensing, 2016