FIFEDOM is an innovative digital airborne image acquisition system, which exploits the additional information inherent in highly overlapped image frames. FIFEDOM proposes a new analysis methodology for aerial mapping,...
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ISBN:
(纸本)078037536X
FIFEDOM is an innovative digital airborne image acquisition system, which exploits the additional information inherent in highly overlapped image frames. FIFEDOM proposes a new analysis methodology for aerial mapping, based on imageprocessingalgorithms, which extract the information found only in highly overlapped image sequences to create orthographic map information. FIFEDOM will concentrate on three applications of highly overlapped aerial image data. They were selected because they fill a clear commercial need and have the most direct impact on the core business of the mapping industry. They are also comprehensive in the sense that they span the radiometric, geometric and classification aspects of the new data. The three applications are: improved mosaicking, improved DEMs and orthorectified images, and improved land classification. Currently, these sophisticated tasks require skilled human operators. The intelligent systems built for FIFEDOM will reduce human interaction, thereby reducing operating costs.
In this paper, we compare the objective performance of several algorithms for coding motion compensated residuals, including the wavelet transform, matching pursuits and an improved embedded DCT-based coding method. A...
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ISBN:
(纸本)0780377133
In this paper, we compare the objective performance of several algorithms for coding motion compensated residuals, including the wavelet transform, matching pursuits and an improved embedded DCT-based coding method. A motion-compensated prediction-based approach with overlapped block matching compensation (OBMC) is used in all systems in the evaluation. The results show that matching pursuits outperforms transform-based methods by 0.1-1.0 dB in PSNR. The embedded DCT coder usually outperforms the wavelet-based SPIHT-AC in the examples considered, and SPIHT is usually better than JPEG 2000.
A Toeplitz-block-Toeplitz (TBT) matrix is block Toeplitz with Toeplitz blocks. TBT systems of equations arise in 2-D interpolation, 2-D linear prediction and 2-D least-squares deconvolution problems. Although the doub...
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ISBN:
(纸本)0780370414
A Toeplitz-block-Toeplitz (TBT) matrix is block Toeplitz with Toeplitz blocks. TBT systems of equations arise in 2-D interpolation, 2-D linear prediction and 2-D least-squares deconvolution problems. Although the doubly Toeplitz structure should be exploitable in a fast algorithm, existing fast algorithms only exploit the block Toeplitz structure, not the Toeplitz structure of the blocks. Iterative algorithms can employ the 2-D FFT, but usually take thousands of iterations to converge. We develop a new fast algorithm that assumes a smoothness constraint (described in the text) on the matrix entries. For an M-2 X M-2 TBT matrix with M M x M Toeplitz blocks along each edge, the algorithm requires only O(6M(3)) operations to solve an M-2 X M-2 linear system of equations;parallel computing on 2M processors can be performed on the algorithm as given. Two examples show the operation and performance of the algorithm.
Product requirements often dictate the use of off-the-shelf processors for very fast signal processing applications. Additionally, restrictions on cost, power, or size/weight may preclude the use of specialized vector...
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ISBN:
(纸本)0780370414
Product requirements often dictate the use of off-the-shelf processors for very fast signal processing applications. Additionally, restrictions on cost, power, or size/weight may preclude the use of specialized vector processors for implementation of the algorithms. We discuss a new method for performing signed parallel processing in scalar, off-the-shelf processors for integerized signal processingalgorithms. Uniform data precision may be used, but is not required for the method. It is shown that the reduction in execution cycles resulting from this implementation is approximately linear in the size of the registers, divided by the precision required.
The ISO/IEC MPEG-4 Audio standard includes the TwinVQ encoding tool. This tool is suitable for low-bit-rate general audio coding, but drawback is the computational complexity of the encoder. To develop a faster TwinVQ...
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ISBN:
(纸本)0780370414
The ISO/IEC MPEG-4 Audio standard includes the TwinVQ encoding tool. This tool is suitable for low-bit-rate general audio coding, but drawback is the computational complexity of the encoder. To develop a faster TwinVQ encoder, new fast vector quantization algorithms - area localized pre-selection and hit zone masking - are introduced. These algorithms exploit pre- and main-selection procedure scheme of the conjugate structure vector quantization which is used in the TwinVQ. The improvement is evaluated by measuring the encoding speed and the sound quality of reproduction.
A ground vehicle-based, real-time, surface mine detection system, utilizing a Compact Airborne Spectrographic image (casi), efficient mine detection algorithms, and real-time processingsystems, was designed and teste...
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ISBN:
(纸本)0819440892
A ground vehicle-based, real-time, surface mine detection system, utilizing a Compact Airborne Spectrographic image (casi), efficient mine detection algorithms, and real-time processingsystems, was designed and tested. The combined real-time system was capable of "learning" the in-situ spectra of various mines, thus providing a spectral library for the detection algorithms. The real-time processing of the casi data involved three steps. The first step was the radiometric correction of the raw data. The second step involved the application of the mine detection algorithms to the corrected data, referencing the spectral library. In the final step, the results of the real-time processes were stored and displayed, usually within a few frame times of the data acquisition. To the authors knowledge, this system represents the first hyperspectral imager to detect mines in real-time. This paper describes the generation of the in-situ mine spectral library, the collection of the scene data, the real-time processing of the scene data and the subsequent display and recording of the detection data. The limitations and expansion capabilities of the real-time system are discussed as well as various techniques that were implemented to achieve the goals, Planned future improvements that have been identified to create a more robust and higher performance, yet simpler processing system, are also discussed.
A new signal processing method is developed for solving the multi-line fitting problem in a two dimensional image. We first reformulate the former problem in a special parameter estimation framework such that a first ...
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ISBN:
(纸本)0780370414
A new signal processing method is developed for solving the multi-line fitting problem in a two dimensional image. We first reformulate the former problem in a special parameter estimation framework such that a first order or a second order polynomial phase signal structure is obtained. Then, the recently developed algorithms in that formalism (and particularly the downsampling technique for high resolution frequency estimation) can be exploited to produce accurate estimates fox line parameters. This method is able to estimate the parameters of parallel lines with different offsets and handles the quantization noise effect which can not be done by the sensor array processing technique introduced by Aghajan et al. Simulation results are presented to demonstrate the usefulness of the proposed method.
We develop algorithms for computing block-recursive Zak transforms and Weyl-Heisenberg expansions, which achieve p/logL and (logM+p)/(logN+logL+1) multiplicative complexity reduction, respectively, over direct computa...
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ISBN:
(纸本)0780370414
We develop algorithms for computing block-recursive Zak transforms and Weyl-Heisenberg expansions, which achieve p/logL and (logM+p)/(logN+logL+1) multiplicative complexity reduction, respectively, over direct computations, where p' = pM, and N - p' is the number of overlapping samples in subsequent signal segments. For each transform we offer a choice of two algorithms that is based on two different implementations of the Zak transform of the time-evolving signal. These two algorithm classes exhibit typical trade-offs between computational complexity and memory requirements.
A system for selecting a single best view image chip from an IR video sequence and compression of the chip for transmission is presented. Moving object detection was done using the algorithm described in [1]. Eigenspa...
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ISBN:
(纸本)0780370414
A system for selecting a single best view image chip from an IR video sequence and compression of the chip for transmission is presented. Moving object detection was done using the algorithm described in [1]. Eigenspace classification has been implemented for best view selection. Fast algorithms for image chip compression have been developed in the wavelet domain by combining a non-iterative zerotree coding method with 2D-DPCM for both low and high frequency subbands and compared against existing schemes.
Three-dimensional depth information of a surface can be encoded in a two-dimensional image called single-image random-dot-stereograms or, more widely known, autostereograms. It is achieved by using the correlations of...
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ISBN:
(纸本)0780370414
Three-dimensional depth information of a surface can be encoded in a two-dimensional image called single-image random-dot-stereograms or, more widely known, autostereograms. It is achieved by using the correlations of pixels in the horizontal direction. Using the correspondences between pixels in human brains or computer algorithms, surfaces can be reconstructed from autostereograms. However, in some cases, the reconstructed surfaces are not unique because of "echoes". In the presence of echoes, reconstruction of the original surface from an autostereogram cannot be guaranteed since no cue of the original surface is available in autostereograms. In this paper, the causes of echoes are investigated and conditions for echo-free reconstructions are derived. Based on these conditions, an improved autostereogram generation algorithm is proposed to guarantee echo-free autostereograms. Besides, the surface reconstruction algorithm is modified such that the originally encoded surfaces can always be reconstructed from echo-free autostereograms.
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