Results 51 to 60 of about 112,589 (145)
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Land use recognition from multispectral satellite images is fundamentally critical for geological applications, but the results are not satisfied.
Yaobin Ma, Xiaohua Deng, Jingbo Wei
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International Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.This study presents a robust and descriptor‐agnostic framework for copy–move forgery detection (CMFD) that combines handcrafted and deep features within a unified geometric refinement stage. The proposed approach integrates a lightweight alignment‐based filtering (ABF) mechanism with multiple descriptors to reduce false positives left unresolved by ...
Yıldız Aydın, Richard Murray
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A Comprehensive Survey on Concrete Crack Detection
Shock and Vibration, Volume 2026, Issue 1, 2026.Concrete structures form the backbone of modern civil infrastructures, yet they are inherently susceptible to cracking over time due to mechanical stress, environmental exposure, and aging. Undetected cracks can escalate into catastrophic structural failures, making timely inspection critical.
Md. Siam Ansary +1 more
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Superpixel Embedding Network [PDF]
, 2019 Superpixel segmentation is a fundamental computer vision technique that finds application in a multitude of high level computer vision tasks. Most state-of-the-art superpixel segmentation methods are unsupervised in nature and thus cannot fully utilize ...
Gaur, Utkarsh, Manjunath, BS
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Journal of Geophysical Research: Machine Learning and Computation, Volume 2, Issue 4, December 2025.Abstract Deep learning (DL) has shown great potential in solving groundwater problems but often requires large labeled data sets, which are expensive and time‐consuming to obtain. In this study, we introduce a self‐supervised learning approach based on a masked autoencoder (MAE)—an encoder‐decoder architecture that reconstructs randomly masked input ...
Kai Ji +4 more
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Using Deep Learning in Infrared Images to Enable Human Gesture Recognition for Autonomous Vehicles
IEEE Access, 2020 The realization of a novel human gesture recognition algorithm is essential to enable the effective collision avoidance of autonomous vehicles. Compared to visible spectrum cameras, the use of infrared imaging can enable more robust human gesture ...
Keke Geng, Guodong Yin
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Selective Multiple Classifiers for Weakly Supervised Semantic Segmentation
CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1688-1702, December 2025.ABSTRACT Existing weakly supervised semantic segmentation (WSSS) methods based on image‐level labels always rely on class activation maps (CAMs), which measure the relationships between features and classifiers. However, CAMs only focus on the most discriminative regions of images, resulting in their poor coverage performance.
Zilin Guo +3 more
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Multiscale superpixel segmentation-based band expansion for change detection
, 2023 Change detection (CD) for remotely sensed images has gained great relevance in the last decade due to an increase in the number of Earth Observation (EO) missions, improved temporal resolutions, and open data policies. However, efficient exploitation and
ERTÜRK, ALP
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Multi-scale guided filtering integrated with superpixel and patch shift
Tongxin xuebao, 2022 In order to avoid the phenomenon that edges were easily blurred during filtering, a multi-scale guided filtering integrated with superpixel and patch shift was proposed.Firstly, the bilateral filtering was applied to an input image to get more accurate ...
Jianwu LONG, Jiangzhou ZHU
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IEEE Access, 2017 This paper presents a region-based relaxed multiple kernel collaborative representation method for the spatial-spectral classification of hyperspectral images. The proposed method consists of three steps.
Jianjun Liu +3 more
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