Results 71 to 80 of about 1,673,879 (163)

A raster-based method for building simplification considering shape and texture features based on remote sensing images

Geo-spatial Information Science
Building simplification involves the process of reducing the complexity of building shapes and details, which is crucial for preserving key features, highlighting essential information, and enhancing map readability.
Ruijie Fan, Yilang Shen
doaj   +1 more source

Multi-level image representation for large-scale image-based instance retrieval

CAAI Transactions on Intelligence Technology, 2018
In recent years, instance-level-image retrieval has attracted massive attention. Several researchers proposed that the representations learned by convolutional neural network (CNN) can be used for image retrieval task.
Qili Deng, Shuai Wu, Jie Wen, Yong Xu
doaj   +1 more source

Adaptive Event-Driven Labeling: Multi-Scale Causal Framework with Meta-Learning for Financial Time Series

Applied Sciences
Financial time-series labeling remains fundamentally limited by three critical deficiencies: temporal rigidity (fixed horizons regardless of market conditions), scale blindness (single-resolution analysis), and correlation-causation conflation.
Amine Kili, Brahim Raouyane, Mohamed Rachdi, Mostafa Bellafkih   +3 more
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Seeing Like Argus: Multi-Perspective Global–Local Context Learning for Remote Sensing Semantic Segmentation

Remote Sensing
Accurate semantic segmentation of high-resolution remote sensing imagery is crucial for applications such as land cover mapping, urban development monitoring, and disaster response.
Hongbing Chen, Yizhe Feng, Kun Wang, Mingrui Liao, Haoting Zhai, Tian Xia, Yubo Zhang, Jianhua Jiao, Changji Wen   +8 more
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PerMSCA-YOLO: A Perceptual Multi-Scale Convolutional Attention Enhanced YOLOv8 Model for Rail Defect Detection

Applied Sciences
With the widespread application of high-speed and heavy-load railways, the real-time detection of track surface defects has become increasingly crucial. To address the challenges in rail defect detection, this study proposes the PerMSCA-YOLO model, which
Jialiang Zhang, Ruiqi Zhang, Fengkai Luan, Hu Zhang   +3 more
doaj   +1 more source

Texture Representation Through Overlapped Multi-Oriented Tri-Scale Local Binary Pattern

IEEE Access, 2019
This paper ideates a novel texture descriptor that retains its classification accuracy under varying conditions of image orientation, scale, and illumination.
Fawad, Muhammad Jamil Khan, Muhammad Ali Riaz, Humayun Shahid, Mansoor Shaukat Khan, Yasar Amin, Jonathan Loo, Hannu Tenhunen   +7 more
doaj   +1 more source

Erratum: Knowledge Representation for Multi-Scale Physiology Route Modeling

Frontiers in Neuroinformatics, 2022
Frontiers Production Office
doaj   +1 more source

Enhanced Window-Based Self-Attention with Global and Multi-Scale Representations for Remote Sensing Image Super-Resolution

Remote Sensing
Transformers have recently gained significant attention in low-level vision tasks, particularly for remote sensing image super-resolution (RSISR). The vanilla vision transformer aims to establish long-range dependencies between image patches.
Yuting Lu, Shunzhou Wang, Binglu Wang, Xin Zhang, Xiaoxu Wang, Yongqiang Zhao   +5 more
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YOLO-SAR: An Enhanced Multi-Scale Ship Detection Method in Low-Light Environments

Applied Sciences
Nowadays, object detection has become increasingly crucial in various Internet-of-Things (IoT) systems, and ship detection is an essential component of this field.
Zihang Xiong, Mei Wang, Ruixiang Kan, Jiayu Zhang   +3 more
doaj   +1 more source

Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism (MUSIASEM): An Outline of Rationale and Theory [PDF]

This paper presents an outline of rationale and theory of the MuSIASEM scheme (Multi-Scale Integrated Analysis of Societal and Ecosystem Metabolism).
Jesus Ramos-Martín, Kozo Mayumi, Mario Giampietro   +2 more
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