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   Articles with "optical images" as a keyword



Multiplexing Optical Images for Steganography by Single Metasurfaces.

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recommendations! Published in 2023 at "Small"

DOI: 10.1002/smll.202206319

Abstract: Image steganography based on intelligent devices is one of the effective routes for safely and quickly transferring secret information. However, optical image steganography has attracted far less attention than digital one due to the state-of-the-art… read more here.

Keywords: multiplexing optical; image steganography; images steganography; steganography single ... See more keywords

Bayesian network-based extraction of lunar impact craters from optical images and DEM data

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recommendations! Published in 2019 at "Advances in Space Research"

DOI: 10.1016/j.asr.2019.02.005

Abstract: Abstract Impact craters are among the most noticeable geomorphological features on the planetary surface and yield significant information about terrain evolution and the history of the solar system. Thus, the recognition of impact craters is… read more here.

Keywords: impact craters; lunar impact; dem data; optical images ... See more keywords
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Universal SAR and optical image registration via a novel SIFT framework based on nonlinear diffusion and a polar spatial-frequency descriptor

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recommendations! Published in 2021 at "Isprs Journal of Photogrammetry and Remote Sensing"

DOI: 10.1016/j.isprsjprs.2020.10.019

Abstract: Abstract Due to severe speckle noise in synthetic aperture radar (SAR) images and the large nonlinear intensity differences between SAR and optical images, the registration of SAR and optical images is a challenging problem that… read more here.

Keywords: descriptor; framework based; based nonlinear; optical images ... See more keywords

Longitudinal magneto-optical images of stray fields on the surfaces of hard magnetic elements

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recommendations! Published in 2018 at "Journal of Magnetism and Magnetic Materials"

DOI: 10.1016/j.jmmm.2018.03.063

Abstract: Abstract The structure of magneto-optic images of the planar component of stray fields on the faces of prismatic hard magnetic elements is determined experimentally and by means of computer simulation. Magneto-optical images were registered using… read more here.

Keywords: optical images; stray fields; magneto optical; magneto ... See more keywords

MM-CGAN: a multi-module conditioned generative adversarial network for sar image to optical image translation

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recommendations! Published in 2025 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2025.2564906

Abstract: ABSTRACT Synthetic Aperture Radar (SAR) is capable of all-weather operation, unaffected by atmospheric conditions, and offers a much higher image resolution compared to traditional optical images, which are easily disrupted by environmental factors. However, optical… read more here.

Keywords: image; generative adversarial; multi module; adversarial network ... See more keywords

Quantum Processing in Fusion of SAR and Optical Images for Deep Learning: A Data-Centric Approach

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3189474

Abstract: Deep learning techniques are very prominent in processing remotely sensed synthetic aperture radar (SAR) images for real-time, high-impact applications, such as image classification, object detection, and semantic segmentation. The accuracy of deep learning models, such… read more here.

Keywords: fusion; deep learning; sar images; centric approach ... See more keywords

Change Detection in Remote Sensing Optical Images Using a SPSA-Based Improved Random Forest Algorithm

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3638638

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed in recent years, their precision is highly affected… read more here.

Keywords: spsa based; random forest; optical images; change detection ... See more keywords

Accurate Outline Extraction of Individual Building From Very High-Resolution Optical Images

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recommendations! Published in 2018 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2018.2857719

Abstract: This letter presents a novel approach for extracting accurate outlines of individual buildings from very high-resolution (0.1–0.4 m) optical images. Building outlines are defined as polygons here. Our approach operates on a set of straight… read more here.

Keywords: high resolution; optical images; line; resolution optical ... See more keywords

Robust Matching for SAR and Optical Images Using Multiscale Convolutional Gradient Features

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3105567

Abstract: Image matching is a key preprocessing step for the integrated application of synthetic aperture radar (SAR) and optical images. Due to significant nonlinear intensity differences between such images, automatic matching for them is still quite… read more here.

Keywords: optical images; gradient features; sar optical; structure ... See more keywords

Multimodal Registration of Optical Images and Digital Elevation Models Using Terrain Features

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3194892

Abstract: Registration of multimodal images, such as optical data and digital elevation models (DEMs), is a challenging task due to significant nonlinear differences between these images. To address the problem, this letter proposes a new robust… read more here.

Keywords: elevation models; terrain features; registration; digital elevation ... See more keywords

TCDNet: Tree Crown Detection From UAV Optical Images Using Uncertainty-Aware One-Stage Network

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3214281

Abstract: Tree crown detection plays a vital role in forestry management, resource statistics, and yield forecasting. Red, green and blue (RGB) high-resolution aerial images have emerged as a cost-effective source of data for tree crown detection.… read more here.

Keywords: network; tree crown; uav optical; detection ... See more keywords