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Proceedings 29th Applied Imagery Pattern Recognition Workshop

16-18 Oct. 2000

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  • Proceedings 29th Applied Imagery Pattern Recognition Workshop

    Publication Year: 2000
    Request permission for commercial reuse | PDF file iconPDF (239 KB)
    Freely Available from IEEE
  • A harbor, a bomb, a wall-geopolitical context and the emergence of America's national reconnaissance imaging capability

    Publication Year: 2000
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (39 KB)

    Summary form only given. The early days of the Cold War had vivid memories of World War II and a challenge to see into denied territories. From this emerged a new capability to image from space-a capability that was innovative, daring, and one of the nation's most closely guarded secrets. This capability saw the development and operation in the 1960s of Corona-a series of photoreconnaissance satel... View full abstract»

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  • Orbital remote sensing of the Earth's surface: a review

    Publication Year: 2000
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (53 KB)

    Summary form only given. This paper reviews the early years of remote sensing of the earth's surface, as distinguished from its atmosphere, and shows the influence of manned space flight, in particular the Apollo Program. The first orbital-altitude pictures of the earth were taken from sounding rockets in the 1950s, and eventually led to terrain photography by astronauts of the Mercury, Gemini, an... View full abstract»

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  • Optically reconfigurable gate array

    Publication Year: 2000
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (100 KB)

    Summary form only given, as follows. Reconfigurable processors, like the Field Programmable Gate Arrays (FPGAs), open new computational paradigms where the processor is able to tailor its internal structure to better implement a given application. A typical FPGA consists of an array of configurable logic blocks and a mesh of interconnections fully programmable by the user to perform a given applic... View full abstract»

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  • Digital fluorescence technique for biomedical applications

    Publication Year: 2000
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (60 KB)

    Summary form only given. We are investigating an optoelectronic imaging technique for localizing fluorescence probes in biologic specimens and experimental animals and analyzing the uptake, localization, and significance of these agents in biological structures. A prototype, digital optical imaging system consisting of a white light illuminator with an optical fiber light guide, a custom designed ... View full abstract»

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  • Author index

    Publication Year: 2000, Page(s):283 - 284
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    Freely Available from IEEE
  • Automated road extraction via the hybridization of self-organization and model based techniques

    Publication Year: 2000, Page(s):32 - 38
    Cited by:  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1368 KB)

    A novel approach to automated road extraction using a hybrid combination of self-organization and model-based extraction techniques is introduced. We use a self-organized mapping technique to first delineate the medial axis topology of road features. This is accomplished through a local clustering of class-binarized spatial information provided from a region segmentation. Since the cluster analysi... View full abstract»

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  • Image-content classification using a dynamically allocated ALISA texture module

    Publication Year: 2000, Page(s):259 - 265
    Cited by:  Papers (3)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1112 KB)

    ALISA (adaptive learning image and signal analysis) is an adaptive learning image and signal classification engine based on the collective learning systems theory. Using supervised training, the ALISA engine builds a set of multidimensional feature histograms that estimate the joint probability density function of the feature space for each trained class. Six general-purpose features, one with a p... View full abstract»

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  • Gradient-oriented profiles for unsupervised boundary classification

    Publication Year: 2000, Page(s):206 - 212
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    We present a method for unsupervised boundary classification by producing and analyzing intensity profiles. Each profile is created by sampling an ellipsoidal neighborhood of voxels oriented along the image gradient. The profile is analyzed via nonlinear optimization to find the best fitting cumulative Gaussian. The parameters of the cumulative Gaussian parameterize the boundary directly yielding:... View full abstract»

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  • Confronting clouds: detection, remediation and simulation approaches for hyperspectral remote sensing systems

    Publication Year: 2000, Page(s):25 - 31
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (704 KB)

    Water and ice clouds and other aerosols will significantly impact the performance of air and space based hyperspectral remote sensing systems. The effects are seen both in terms of optically thin layers intervening in the sensor line-of-sight and in the impact of cloud shadowed illumination on observed materials. While contamination is expected more often than not, many experiments and algorithms ... View full abstract»

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  • An agent-based architecture for distributed imagery and geospatial computing

    Publication Year: 2000, Page(s):252 - 258
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (784 KB)

    This paper gives a description of the design and implementation of the agent-based imagery and geospatial processing architecture (AIGA). Our approach centers on the development of an ontology, light-weight agents, and an agent communication language for imagery and geospatial computing. AIGA agents cooperate with each other to answer specific queries and to efficiently manage distributed resource... View full abstract»

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  • Computer diagnosis of mammographic masses

    Publication Year: 2000, Page(s):166 - 172
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    The objective of this work is to provide a probability of malignancy of a mammographic mass to the interpreting physician. Using the location of a mass, it is automatically segmented using fuzzy clustering. Features are extracted from the segmentation results using morphological, first-order statistical, and texture measures. Selection of relevant features is done using sequential selection. Fitne... View full abstract»

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  • Tomographic reflection to merge ultrasound images with direct vision

    Publication Year: 2000, Page(s):200 - 205
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (656 KB)

    Tomographic reflection is a method that may be used to merge the visual outer surface of a patient with a simultaneous ultrasound scan of the patient's interior. The technique combines a flat-panel monitor with a half-silvered mirror such that the image on the monitor is reflected precisely at the proper location within the patient. In this way, the ultrasound image is superimposed in real time on... View full abstract»

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  • Shape classification using a radial feature token

    Publication Year: 2000, Page(s):47 - 53
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (448 KB)

    This paper presents a process for classifying shapes in digital images using a radial feature token. This shape classification process has been implemented as the ALISA(R) shape module, the third module in the adaptive learning image and signal analysis (ALISA) system hierarchy, which also includes geometry and texture classification modules. Shape classification in images is a challeng... View full abstract»

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  • Geometric invariants for rational polynomial cameras

    Publication Year: 2000, Page(s):223 - 234
    Cited by:  Papers (1)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1144 KB)

    Remote sensing imaging systems map object points, located at 3D coordinates (x, y, z) in object space, to image points located at 2D (line, sample) coordinates in image space. For central projection imaging systems such as conventional cameras, the object-to-image mapping may be modeled as ratios of linear polynomials: line coordinate is P(x, y, z)/R(x, y, z) and sample coordinate is Q(x,y,z)/R(x,... View full abstract»

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  • Combining image derived spectra and physics based models for hyperspectral image exploitation

    Publication Year: 2000, Page(s):15 - 24
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB)

    This paper addresses a conceptual approach to hyperspectral image assessment that uses physics-based models to constrain multiparameter inversion algorithms aimed at quantitative measurement of material properties. Sensing approaches include use of a single hyperspectral image with many spectral samples, a sequence of images acquired over time, and widely different types of measurements from a ran... View full abstract»

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  • A software tool to predict SAR signatures for building modeling

    Publication Year: 2000, Page(s):245 - 251
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (880 KB)

    A software tool has been developed to predict the SAR signatures created by buildings. The tool is an integration of a building model editor with a SAR signature simulation algorithm. The SAR signature simulator is capable of producing single and multiple bounce signatures from building model inputs. These signatures are computed in near real time and are displayed as colored graphic overlays supe... View full abstract»

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  • Hierarchical, multi-resolution models for object recognition: applications to mammographic computer-aided diagnosis

    Publication Year: 2000, Page(s):159 - 165
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB)

    A fundamental problem in image analysis is the integration of information across scale to detect and classify objects. We have developed, within a machine learning framework, two classes of multiresolution models for integrating scale information for object detection and classification-a discriminative model called the hierarchical pyramid neural network and a generative model called a hierarchica... View full abstract»

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  • A constant probability of detection model for image quantization

    Publication Year: 2000, Page(s):115 - 120
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (608 KB)

    A large number of remote sensing applications require that images be transmitted across a low bandwidth communication link for human analysis and automatic evaluation. To accommodate the low bandwidth link, compression is often used to reduce the amount of data transmitted. A central part of this compression process is quantization which decreases the entropy in the compressed imagery. While quant... View full abstract»

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  • An approach to image classification in ultrasound

    Publication Year: 2000, Page(s):193 - 199
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (672 KB)

    Ultrasound is an attractive diagnostic medical imaging modality because of its safety, speed, relative low cost, and versatility. It is used successfully in imaging of shape, structure, and size in two and three dimensions; in the measurement of blood flow, and in quantitative characterization of tissue. The paper examines some of the models and processing techniques that make those applications p... View full abstract»

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  • A vector coding method for natural images

    Publication Year: 2000, Page(s):146 - 150
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (296 KB)

    A new vector coding for natural image, which has a compressive algorithm, is presented and the image features showed in this method are described. The pixel-value-boundary contours on RGB or YCrCb planes of natural images are expressed by function approximation and then their contour shapes are predicted from similar contours in the decoder side. The proposed vector coding method has two main meri... View full abstract»

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  • Moving object tracking in video

    Publication Year: 2000, Page(s):95 - 101
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1056 KB)

    The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. However, video needs more space for storage and wider bandwidth for transmission. Hence is raised the topic of ... View full abstract»

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  • Early history of remote sensing

    Publication Year: 2000, Page(s):3 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (560 KB)

    This paper details a high level overview of the prominent aspects of the history of remote sensing. It details its early uses from antiquity to World War II View full abstract»

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  • Parallel image classification on the HIVE

    Publication Year: 2000, Page(s):39 - 46
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (688 KB)

    Remotely sensed imagery represents a growing source of information to many practical applications. Technologies to rapidly process imagery data into useful information products has not kept pace with the rapidly growing volume and complexity of imagery data increasingly available from Government and commercial sources. Significant processing speed improvements have been achieved by implementation ... View full abstract»

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  • Image quality assessment of sparse aperture designs

    Publication Year: 2000, Page(s):269 - 282
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (512 KB)

    Increasing the available imaging time of a remote sensing satellite over a specified ground area can be accomplished by placing the satellite in a higher, more elliptical orbit. This, however, will also require the satellite to be farther away from the Earth, thus reducing the resolution of the images. If the aperture size of the optics can be increased proportional to the increase in the satellit... View full abstract»

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