DIRSIG-digital Imaging and Remote Sensing Image Generation Model PDF Download
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Author: John R. Schott
Publisher:
ISBN:
Category : Infrared imaging
Languages : en
Pages : 236
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Book Description
Author: John R. Schott
Publisher:
ISBN:
Category : Infrared imaging
Languages : en
Pages : 236
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Book Description
Author: Todd A. Kraska
Publisher:
ISBN: 9781423577539
Category : Infrared imaging
Languages : en
Pages : 265
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Book Description
The civilian and military need for high resolution infrared imagery has dramatically increased in recent times. Regardless of the user or the need, infrared imagery can provide unique information that is not available in the visible region of the electromagnetic spectrum. Just as the need for real infrared imagery has increased, so has the need for computer generated infrared imagery, also known as synthetic imagery. Synthetic imagery is created by mathematically modeling the 'real world' and the imaging chain, encompassing everything from the target to the sensor characteristics. The amount of faith that can be placed in a synthetic image depends on its accuracy in recreating the real world. The Digital Imaging and Remote Sensing Image Generation Model (DIRSIG) at the Rochester Institute of Technology (RIT) attempts to model the real world. It creates synthetic images through the integration of scene geometry, ray-tracer, thermal, radiometry, and sensor submodels. The focus of this project lies in evaluating the ability of DIRSIG to recreate the imaging chain and produce high resolution synthetic imagery. DIRSIG synthetic imagery of the Kodak Hawkeye plant and the surrounding area was compared to aerial infrared imagery of the same region using root mean square error and rank order correlation. This comparison helped to validate the output from DIRSIG and detect inadequacies in the image chain model. In addition to validating DTRSIG, a procedure for optimizing the input parameters, incorporating a sensitivity analysis, was developed. This reduces the time involved in creating a realistic and accurate synthetic image.
Author: Russell A. White
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 404
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Book Description
"The performance of RIT's Digital Imaging and Remote Sensing Image Generation (DIRSIG) model is validated. The model is robust enough to treat solar, atmospheric, target/background, and sensor interactions. It operates over the 0.28 - 28 micrometers (Ultraviolet- Long Wavelength Infra-Red) spectral region. However, this study focuses only on the 0.4 - 1.0 micrometer (reflective) region. To validate the model, reference (actual) imagery from an airborne frame sensor is compared to synthetic imagery of the same scene. This study also evaluates DIRSIG's treatment of reflectivity and recommends improvements."--Abstract.
Author: Jason P. Meyers
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 159
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Book Description
"This dissertation lays the ground work for enhancing the current Digital Imaging and Remote Sensing Laboratory's Synthetic Image Generation (DIRSIG) model to include polarimetric phenomenology."--Abstract.
Author: David J. Joseph
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 410
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Book Description
ABSTRACT: "The Digital Imaging Remote Sensing Image Generation (DIRSIG) model is a synthetic image generation (SIG) tool developed by the Digital Imaging/Remote Sensing (DIRS) group at Rochester Institute of Technology's (RIT) Center for Imaging Science (CIS). Validation of a series of DIRSIG scenes over a broad spectral range has been presented. The validation scenario makes use of airborne and ground truth data collected during the Western Rainbow study conducted from October 18-24, 1995 at the United States Army Proving Ground in Yuma, Arizona. Three sensors were simulated in the validation scenario: the Daedalus multispectral sensor, the Hyperspectral Digital Imagery Collection Experiment (HYDICE), and the Spatially Enhanced Broadband Array Spectrograph System (SEBASS), and collectively, they covered the spectrum from 0.4 to 14 microns. As part of the study, various emissivity extraction techniques have been reviewed, and DIRSIG's potential as an imaging spectroscopy tool in the 8 to 14 um atmospheric window has been evaluated. One procedure: the Planck curve fitting technique, has been implemented and utilized with DIRSIG, SEBASS and ground truth data to extract emissivity spectra."
Author: Stephen R. Lach
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 253
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Book Description
"The Digital Imaging and Remote Sensing Image Generation (DIRSIG) model is an established, first-principles based scene simulation tool that produces synthetic multispectral and hyperspectral images from the visible to long wave infrared (0.4 to 20 microns). Over the last few years, significant enhancements such as spectral polarimetric and active Light Detection and Ranging (lidar) models have also been incorporated into the software, providing an extremely powerful tool for multi-sensor algorithm testing and sensor evaluation. However, the extensive time required to create large-scale scenes has limited DIRSIG's ability to generate scenes 'on demand.' To date, scene generation has been a laborious, time-intensive process, as the terrain model, CAD objects and background maps have to be created and attributed manually. To shorten the time required for this process, this research developed an approach to reduce the man-in-the-loop requirements for several aspects of synthetic scene construction. Through a fusion of 3D lidar data with passive imagery, we were able to semi-automate several of the required tasks in the DIRSIG scene creation process. Additionally, many of the remaining tasks realized a shortened implementation time through this application of multi-modal imagery. Lidar data is exploited to identify ground and object features as well as to define initial tree location and building parameter estimates. These estimates are then refined by analyzing high-resolution frame array imagery using the concepts of projective geometry in lieu of the more common Euclidean approach found in most traditional photogrammetric references. Spectral imagery is also used to assign material characteristics to the modeled geometric objects. This is achieved through a modified atmospheric compensation applied to raw hyperspectral imagery. These techniques have been successfully applied to imagery collected over the RIT campus and the greater Rochester area. The data used include multiple-return point information provided by an Optech lidar linescanning sensor, multispectral frame array imagery from the Wildfire Airborne Sensor Program (WASP) and WASP-lite sensors, and hyperspectral data form the Modular Imaging Spectrometer Instrument (MISI) and the COMPact Airborne Spectral Sensor (COMPASS). Information from these image sources was fused and processed using the semi-automated approach to provide the DIRSIG input files used to define a synthetic scene. When compared to the standard manual process for creating these files, we achieved approximately a tenfold increase in speed, as well as a significant increase in geometric accuracy."--Abstract.
Author: Chabitha Devaraj
Publisher:
ISBN:
Category : Image processing
Languages : en
Pages : 149
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Book Description
"In addition to spectral information acquired by traditional multi/hyperspectral systems, passive electro optical and infrared (EO/IR) polarimetric sensors also measure the polarization response of different materials in the scene. Such an imaging modality can be useful in improving surface characterization; however, the characteristics of polarimetric systems have not been completely explored by the remote sensing community. Therefore, the main objective of this research was to advance our knowledge in polarimetric remote sensing by investigating the impact of polarization phenomenology on material discriminability. The first part of this research focuses on system validation, where the major goal was to assess the fidelity of the polarimetric images simulated using the Digital Imaging and Remote Sensing Image Generation (DIRSIG) model. A theoretical framework, based on polarization vision models used for animal vision studies and industrial defect detection applications, was developed within which the major components of the polarimetric image chain were validated. In the second part of this research, a polarization physics based approach for improved material discriminability was proposed. This approach utilizes the angular variation in the polarization response to infer the physical characteristics of the observed surface by imaging the scene in three different view directions. The usefulness of the proposed approach in improving detection performance in the absence of a priori knowledge about the target geometry was demonstrated. Sensitivity analysis of the proposed system for different scene related parameters was performed to identify the imaging conditions under which the material discriminability is maximized. Furthermore, the detection performance of the proposed polarimetric system was compared to that of the hyperspectral system to identify scenarios where polarization information can be very useful in improving the target contrast."--Abstract.
Author: François Alain
Publisher:
ISBN:
Category : Fourier transform spectroscopy
Languages : en
Pages : 175
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Book Description
Imaging Fourier transform spectrometers are becoming popular sensors for hyperspectral remote sensing. To evaluate sensor design artifacts and properties, it is useful to simulate their designs using a radiometrically correct ray-tracing tool. The digital imaging and remote sensing image generation model allows for such design and simulation of sensor properties. Two different design types are evaluated and simulated. Simulated images and the effects of design artifacts are presented, along with the theory allowing their understanding. Results of the simulation of a full scene are shown and help indicate where those sensors can be useful. Finally, recommendations and future improvements to this research are listed.
Author: Richard B. Stark
Publisher:
ISBN:
Category : Infrared imaging
Languages : en
Pages : 328
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Book Description
"This study focused on the operation of the RIT Digital Imaging and Remote Sensing Lab's synthetic image generation (DIRSIG) software model in the 0.4 to 1.0 urn wavelength region. The overall intent was to create a baseline for future DIRSIG activity. This was achieved by modifying the infrared based software to account for the characteristics of visible energy, and then evaluating the model's overall performance. A modification was made to the model's radiance algorithm by dividing surface reflectivity into a combination of view angle dependent diffuse and specular components. Additionally a practical method was developed for generating these values. Performance evaluation of the model was accomplished by collecting truth data from an actual scene, generating an applicable reflectivity database, synthetically generating images of the scene, and then comparing the image data with the truth data. The generated images provided a good representation of the visible energy interactions occurring in a scene."--Abstract.
Author: John Robert Schott
Publisher: SPIE Press
ISBN:
Category : Infrared imaging
Languages : en
Pages : 270
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Book Description
This text is for those who need an introduction to polarimetric signals to begin working in the field of polarimetric remote sensing, particularly where the contrast between manmade objects and natural backgrounds are the subjects of interest. The book takes a systems approach to the physical processes involved with formation, collection, and analysis of polarimetric remote sensing data in the visible through longwave infrared. (pBRDF) is then introduced as a way to characterize the reflective and emissive polarimetric behavior of materials. With Dr. Schott's text, you will gain an introduction to polarimetric remote sensing, an appreciation of its issues, and the tools to begin to work in the field.
