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

Jiewei He; Zhanqiang Chang; Ziyu Wang

doi:10.1117/12.2655910

12 January 2023 A segmented mapping algorithm for SAR image and the corresponding quality evaluation method

Jiewei He, Zhanqiang Chang, Ziyu Wang

Proceedings Volume 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022); 125092I (2023) https://doi.org/10.1117/12.2655910
Event: Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 2022, Guangzhou, China

Abstract

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.

Citation Download Citation

Jiewei He, Zhanqiang Chang, and Ziyu Wang "A segmented mapping algorithm for SAR image and the corresponding quality evaluation method", Proc. SPIE 12509, Third International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI 2022), 125092I (12 January 2023); https://doi.org/10.1117/12.2655910

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