Deep Relevance Hashing for Remote Sensing Image Retrieval [PDF]
SensorsWith the development of remote sensing technologies, the volume of remote sensing data is growing dramatically, making efficient management and retrieval of large-scale remote sensing images increasingly important.
Xiaojie Liu, Xiliang Chen, Guobin Zhu
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Low Dimensional Discriminative Representation of Fully Connected Layer Features Using Extended LargeVis Method for High-Resolution Remote Sensing Image Retrieval [PDF]
Sensors, 2020 Recently, there have been rapid advances in high-resolution remote sensing image retrieval, which plays an important role in remote sensing data management and utilization. For content-based remote sensing image retrieval, low-dimensional, representative
Zheng Zhuo, Zhong Zhou
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Global Optimal Structured Embedding Learning for Remote Sensing Image Retrieval. [PDF]
Sensors (Basel), 2020 A rich line of works focus on designing elegant loss functions under the deep metric learning (DML) paradigm to learn a discriminative embedding space for remote sensing image retrieval (RSIR). Essentially, such embedding space could efficiently distinguish deep feature descriptors. So far, most existing losses used in RSIR are based on triplets, which
Liu P, Gou G, Shan X, Tao D, Zhou Q.
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Remote Sensing Image Retrieval Algorithm for Dense Data
Remote Sensing, 2023 With the rapid development of remote sensing technology, remote sensing products have found increasingly widespread applications across various fields. Nevertheless, as the volume of remote sensing image data continues to grow, traditional data retrieval
Xin Li, Shibin Liu, Wei Liu
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Adaptive Multi-Proxy for Remote Sensing Image Retrieval
Remote Sensing, 2022 With the development of remote sensing technology, content-based remote sensing image retrieval has become a research hotspot. Remote sensing image datasets not only contain rich location, semantic and scale information but also have large intra-class ...
Xinyue Li +4 more
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ROI-Guided Attention Learning for Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn the burgeoning remote sensing image data era, the swift and precise retrieval of images from extensive databases has emerged as a critical challenge.
Lili Li +3 more
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A Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval
Remote Sensing, 2021 Conventional remote sensing image retrieval (RSIR) systems perform single-label retrieval with a single label to represent the most dominant semantic content for an image.
Qimin Cheng +5 more
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Blockchain-Assisted Verifiable and Secure Remote Sensing Image Retrieval in Cloud Environment
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Secure retrieval of remote sensing images in an outsourced cloud environment garners considerable attention. Since the cloud service provider (CSP) is considered as a semitrusted third party that may return incorrect retrieval results to save ...
Xue Ouyang +5 more
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Remote Sensing Cross-Modal Retrieval by Deep Image-Voice Hashing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Remote sensing image retrieval aims at searching remote sensing images of interest among immense volumes of remote sensing data, which is an enormous challenge. Direct use of voice for human–computer interaction is more convenient and intelligent.
Yichao Zhang +2 more
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A Deep Semantic Alignment Network for the Cross-Modal Image-Text Retrieval in Remote Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Because of the rapid growth of multimodal data from the internet and social media, a cross-modal retrieval has become an important and valuable task in recent years.The purpose of the cross-modal retrieval is to obtain the result data in one modality (e ...
Qimin Cheng +4 more
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