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  1. Interferometric SAR coherence classification utility assessment

    The classification utility of a dual-antenna interferometric synthetic aperture radar (IFSAR) is explored by comparison of maximum likelihood classification results for synthetic aperture radar (SAR) intensity images and IPSAR intensity and coherence images. The addition of IFSAR coherence improves the overall classification accuracy for classes of trees, water, and fields. A threshold intensity-coherence classifier is also compared to the intensity-only classification results.
  2. Coresident sensor fusion and compression using the wavelet transform

    Imagery from coresident sensor platforms, such as unmanned aerial vehicles, can be combined using, multiresolution decomposition of the sensor images by means of the two-dimensional wavelet transform. The wavelet approach uses the combination of spatial/spectral information at multiple scales to create a fused image. This can be done in both an ad hoc or model-based approach. We compare results from commercial ``fusion`` software and the ad hoc, wavelet approach. Results show the wavelet approach outperforms the commercial algorithms and also supports efficient compression of the fused image.
  3. High Resolution Terrain Elevation Mapping Results from Airborne Cross-Track SAR Stereo

    No abstract prepared.
  4. Characterization and evaluation of a photostimulable phosphor x-ray imaging system

    This study presents the characterization and evaluation of a new radiological imagining modality, Toshiba Computed Radiography (TCR) 201. The characteristics of the TCR storage phosphor imaging plates such as energy-dependent x-ray quantum efficiency, stored signal decay, low exposure rate signal build-up, and spontaneous and stimulated gain measures are presented. The TCR 201 system is characterized by the signal transfer curve, the total root-mean-squared (rms) output noise, the signal-to-noise ratio, the modulation transfer function (MTF), its noise power spectrum (NPS), and the detective quantum efficiency (DQE). The system rms noise is photon-limited for exposures less than 1.0 mR, but has contributionsmore » from phosphor structure and quantization noise for exposures higher than 1.0 mR. The phosphor's information factor is shown to explain deviations from ideal photon-limited noise for exposures of less than 1.0 mR. The MTF of the system is measured for standard imaging plates, 10% at 2.8 lp/mm. An expression for the NPS is statistically derived, and experimental measurements confirm the expression and show an increase in uncorrelated noise power above 1.0 mR which is consistent with rms measurements. Expressions for the DQE are presented.« less
  5. The effect of scattering from buildings on interferometric SAR measurements

    The determination of elevation models of buildings using interferometric synthetic aperture radar (IFSAR) is an important area of active research. The focus of this paper is on some of the unique scattering mechanisms that occur with buildings and how they affect the IFSAR height measurement and the coherence. The authors will show by theory and examples that the various data products obtained from IFSAR can be used to aid in interpreting building height results. They will also present a method that they have used successfully in mapping buildings in Washington D.C.
  6. Multisensor data fusion algorithm development

    This report presents a two-year LDRD research effort into multisensor data fusion. We approached the problem by addressing the available types of data, preprocessing that data, and developing fusion algorithms using that data. The report reflects these three distinct areas. First, the possible data sets for fusion are identified. Second, automated registration techniques for imagery data are analyzed. Third, two fusion techniques are presented. The first fusion algorithm is based on the two-dimensional discrete wavelet transform. Using test images, the wavelet algorithm is compared against intensity modulation and intensity-hue-saturation image fusion algorithms that are available in commercial software. The waveletmore » approach outperforms the other two fusion techniques by preserving spectral/spatial information more precisely. The wavelet fusion algorithm was also applied to Landsat Thematic Mapper and SPOT panchromatic imagery data. The second algorithm is based on a linear-regression technique. We analyzed the technique using the same Landsat and SPOT data.« less
  7. Image merging and data fusion by means of the discrete two-dimensional wavelet transform

    A new technique is developed for the merging and data fusion of two images. Two spatially registered images with differing spatial resolutions and color content are merged by combining multiresolution wavelet-decomposition components from each and then reconstructing the merged image by means of the inverse wavelet transform. The wavelet merger can employ a variety of wavelet bases, but in presentation of the concept, simple orthonormal sets---Haar and Daubechies wavelets---are explored. The wavelet technique is compared with the intensity--hue--saturation merging technique by means of multispectral and panchromatic test images. The results of the comparison show the wavelet merger performing better inmore » combining and preserving spectral--spatial information for the test images.« less
  8. Artifacts in wavelet image merging

    Intensity modulation (IM), intensity-hue-saturation (IHS), and multiresolution wavelet decomposition (MWD) are {ital ad} {ital hoc} image merging techniques that enhance low-spatial-resolution color imagery with high-resolution black and white imagery. While the MWD is a relatively new technique, both IM and IHS can be found in commercial software. These three merging techniques are compared to find which best retains spectral fidelity while adding spatial information. With this criterion, merging artifacts are identified and characterized. Specifically, the three techniques were tested with respect to resampling, misregistration, intensity variance, and complexity problems that arise in multiresolution image merging. Test images were used allowingmore » the mean difference, standard deviation difference, entropy difference, and affected area to be calculated. {copyright} {ital 1996 Society of Photo{minus}Optical Instrumentation Engineers.}« less

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"Yocky, D.A."

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