Results 31 to 40 of about 1,598,510 (299)
Remote Sensing, 2022 Shadow detection is an essential research topic in the remote-sensing domain, as the presence of shadow causes the loss of ground-object information in real areas. It is hard to define specific threshold values for the identification of shadow areas with
Zhanjun He +4 more
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Integrating Target and Shadow Features for SAR Target Recognition
Sensors, 2023 Synthetic aperture radar (SAR) sensor often produces a shadow in pairs with the target due to its slant-viewing imaging. As a result, shadows in SAR images can provide critical discriminative features for classifiers, such as target contours and relative positions.
Zhiyuan Zhao 0008 +3 more
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Attentive Generative Adversarial Network with Dual Encoder-Decoder for Shadow Removal
Information, 2022 Shadow removal is a fundamental task that aims at restoring dark areas in an image where the light source is blocked by an opaque object, to improve the visibility of shadowed areas.
He Wang, Hua Zou, Dengyi Zhang
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Direction-Aware Spatial Context Features for Shadow Detection and Removal [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Shadow detection and shadow removal are fundamental and challenging tasks, requiring an understanding of the global image semantics. This paper presents a novel deep neural network design for shadow detection and removal by analyzing the spatial image context in a direction-aware manner. To achieve this, we first formulate the direction-aware attention
Xiaowei Hu 0001 +4 more
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Unsharp masking filter based shadow-invariant feature extraction for hyperspectral signatures
, 2014 Hyperspectral image processing is an important research topic in remote sensing. The effect of atmosphere, especially cloud shadows need to be taken care of in hyperspectral image processing analysis.
Ufuk Sakarya +5 more
core +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingSynthetic aperture radar (SAR) is an active microwave remote sensing technology that provides abundant data for Earth observation. However, the reliability of SAR data is threatened by advanced deception jamming techniques, which generate highly ...
Yingying Wu +6 more
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Sensors, 2020 Numerous applications are hindered by shadows in high resolution satellite remote sensing images, like image classification, target recognition and change detection. In order to improve remote sensing image utilization, significant importance appears for
Hongyin Han +4 more
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ShadowDeNet: A Moving Target Shadow Detection Network for Video SAR
Remote Sensing, 2022 Most existing SAR moving target shadow detectors not only tend to generate missed detections because of their limited feature extraction capacity among complex scenes, but also tend to bring about numerous perishing false alarms due to their poor ...
Jinyu Bao +3 more
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Web Map / Feature Services Cookbook
, 2023 Learn how to use web map and feature services to easily and quickly provide spatial context, without the need to download and process GBs of data!If you use this cookbook, please cite it as ...
Huang, Andrew +1 more
core +1 more source
Variational Bayesian learning for background subtraction based on local fusion feature
IET Computer Vision, 2016 To resist the adverse effect of shadow interference, illumination changes, indigent texture and scenario jitter in object detection and improve performance, a background modelling method based on local fusion feature and variational Bayesian learning is ...
Junhua Yan +4 more
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