Interactive Dynamic Range Reduction for SAR Images

Lambers, Martin; Nies, Holger; Kolb, Andreas

doi:10.1109/lgrs.2008.922732

Cited by 12 publications

(10 citation statements)

References 15 publications

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“…Gamma mapping makes the gray value of the output image and the gray value of the input image show an exponential relationship. Gamma transform is used for image enhancement, which improves the details of dark parts [4] .To put it simply, the HDR image can be corrected in bleached (camera exposure) or darkened (underexposure) parts by making the visual image more similar to the response experienced by the human eye through nonlinear transformation [8] .…”

Section: Gamma Mappingmentioning

confidence: 99%

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Chang²,

Wang³

2023

Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022)

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Nowadays the space borne synthetic aperture radar (SAR) is an important tool to acquire the information of the ground features. As is well known, SAR image is a typical High Dynamic Range Image (HDR). HDR is generally beyond the dynamic display range of the commonly-used display equipment, and visual interpretation is the most common and direct means for researchers to obtain ground object information from SAR images. Therefore, in order to obtain high quality SAR image, it is necessary to map high dynamic range (HDR) image into low dynamic range (LDR) display output. In this article, we will analyze of SAR image brightness characteristics and propose a segmented mapping algorithm suitable for SAR image. In addition common image quality evaluation index are described.

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Section: Gamma Mappingmentioning

confidence: 99%

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Chang²,

Wang³

2023

Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022)

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“…The data is then processed on the GPU according to the current visualization parameters, such as the despeckling method and the method to transfer amplitude values to gray levels [3].…”

Section: Frameworkmentioning

confidence: 99%

Automatic Point Target Detection for Interactive Visual Analysis of SAR Images

Lambers

Kolb

2008

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium

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Point target analysis is an important tool to analyze the quality of SAR images. To permit interactive visual analysis, visualization applications need to automatically detect point targets in a SAR image and estimate associated quality measurements such as the peak sidelobe ratio (PSLR). This task is computationally expensive.In this paper, we propose methods for automatic point target detection that work on hierarchical data structures and process the image data on the graphics processing unit (GPU) to allow interactive use. For each detected point target in the currently visualized area of the image, the visualization application can then display color-coded quality measurements, thus providing the user with an overview of the point targets in the scene as well as an immediate impression of the SAR image quality. Detailed point target analysis results can be displayed on demand.

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“…There has been much research into HDR techniques beyond conventional visible light photography. The breadth of this work will not be surveyed here, but we point the interested reader to examples where HDR processing techniques have also been advantageously applied to sonar [9], radar [10], and audio processing [11,12]. At X-ray wavelengths, Park and Montag investigated the performance of nine tonemapping algorithms for rendering scientific HDR images, including medical radiographs [13].…”

Section: Introductionmentioning

confidence: 99%

Improved Threat Identification Using Tonemapping of High-Dynamic-Range X-ray Images

Glover

Hudson

Paulter

2018

Journal of Testing and Evaluation

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Transmission X-ray systems are used to image the contents of suspicious packages, luggage, and cargo. The images can have a dynamic range of 1,000:1 or greater, but are typically displayed on consumer-grade displays with a low-dynamic range of less than 255:1. We show that modern tonemapping algorithms can greatly improve the process of displaying X-ray images on low-dynamic-range displays and compare the performance of some popular algorithms for this purpose.

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Interactive Dynamic Range Reduction for SAR Images

Cited by 12 publications

References 15 publications

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Automatic Point Target Detection for Interactive Visual Analysis of SAR Images

Improved Threat Identification Using Tonemapping of High-Dynamic-Range X-ray Images

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