This paper describes a novel technique of ocean surface vector wind measurement using active and passive microwave sensing from a satellite. For over a decade, satellite microwave scatterometers have remotely sensed o...
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ISBN:
(纸本)0933957343
This paper describes a novel technique of ocean surface vector wind measurement using active and passive microwave sensing from a satellite. For over a decade, satellite microwave scatterometers have remotely sensed ocean wind vector (speed and direction) by measuring ocean radar backscatter (sigma-0) at several different azimuth angles (looking forward and aft). Also, ocean wind speeds have been measured by conical scanning passive microwave radiometers looking either forward or aft. This paper combines these two techniques to obtain wind speed and direction from a conical scanning instrument that scans either forward or aft, which is extremely desirable from an instrument design and satellite accommodations standpoint. An overview of the active/passive wind vector algorithm is discussed, and wind vector retrievals are presented using microwave measurements from Japan's ADEOS-II satellite. These results are compared with wind vectors from the SeaWinds scatterometer.
WindSat is a high precision, conical scanning microwave radiometer that was launched in January 2003 on the Coriolis satellite. The main objective of the WindSat mission is to demonstrate the "proof of concept&qu...
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Motivated by the success of free-parts based representations in face recognition, we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent visual ...
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作者:
Lucey, SimonLucey, PatrickAdvanced Multimedia Processing Laboratory
Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States Speech
Audio Image and Video Research Laboratory Queensland University of Technology GPO Box 2424 Brisbane4001 Australia
Motivated by the success of free-parts based representations in face recognition [1] we have attempted to address some of the problems associated with applying such a philosophy to the task of speaker-independent auto...
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This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPT-AFM) framework. The proposed algorithm mainly focuses on analysis of deformable objects,...
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MATLAB® is a widely accepted software tool routinely used in engineering, but not so much in applied optics and especially in acousto-optics. In this talk, we first explore the use of MATLAB® to solve so...
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MATLAB® is a widely accepted software tool routinely used in engineering, but not so much in applied optics and especially in acousto-optics. In this talk, we first explore the use of MATLAB® to solve some well-known examples in acousto-optics such as Bragg diffraction and Raman-Nath diffraction. After establishing the correctness of the MATLAB® approach, we then apply it to investigate imageprocessing using acousto-optics and complete power transfer into the second and third Bragg order.
The Sea Winds scatterometer onboard the QuikSCAT satellite measures the ocean normalized radar cross section to infer the surface wind vector. In addition, SeaWinds simultaneously measures the polarized microwave brig...
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The Sea Winds scatterometer onboard the QuikSCAT satellite measures the ocean normalized radar cross section to infer the surface wind vector. In addition, SeaWinds simultaneously measures the polarized microwave brightness temperature of the ocean/atmosphere, and this passive microwave measurement capability is known as the QuikSCAT Radiometer (QRad). QRad brightness temperatures are used to infer instantaneous rain rates over oceans using a statistical retrieval algorithm that has been developed using collocated QRad brightness temperatures with TRMM Microwave imager (TMI) rain rate measurements. In this paper, QRad retrieved rain rate examples are presented and comparisons are made with independent near simultaneous rain observations including the TRMM 3B42RT data product. This near-real-time global precipitation data product combines all passive microwave with geostationary visible/infrared precipitation estimates in global 3-hour universal time windows. Results demonstrate that QRad rain measurements agree well with these independent microwave rain observations, which demonstrates the utility of using QRad rain retrievals as a "stand alone rain quality flag".
In this paper, we propose a variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an ener...
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In this paper, we propose a variational method to segment image objects, which have a given parametric shape based on a level-set formulation of the Mumford-Shah functional, and the shape parameters. We define an energy functional composed by two complementary terms. The first one detects object boundaries using a Chan-Vese-like method. The second term constrains the contour to find a shape compatible with the parametric shape. The segmentation of the object of interest is given by the minimum of our energy functional. This minimum is computed with the calculus of variation and the gradient descent method that provide a system of evolution equations solved with the well-known level set method. We focus in this paper on the parametric category of image linear objects. Applications of the proposed model are presented on synthetic and real images
In this paper, we describe a freehand, three-dimensional ultrasound imaging system. The system uses an electromagnetic position and orientation measurement device to capture two-dimensional ultrasound images at arbitr...
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In this paper, we describe a freehand, three-dimensional ultrasound imaging system. The system uses an electromagnetic position and orientation measurement device to capture two-dimensional ultrasound images at arbitrary planar orientations in space. For robust performance, we use a novel electromagnetic interference detection algorithm that can be used to estimate the probability density function of position and orientation measurement errors. Another important contribution of the proposed system is its ability to reconstruct from multiple standard views. The multi-view reconstruction procedure results in significant reduction in reconstruction error. The system uses object-based 3D volume registration, allowing for arbitrary rigid object movements in inter-view acquisition. The proposed system has been validated on simulated data and a physical, 3D ultrasound calibration phantom. Quantitative experimental results demonstrate the effectiveness of the 3D registration system, and a significant reduction in the mean-squared error via the use of the proposed multi-view reconstruction method.
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