Results 11 to 20 of about 65,450 (292)
Aggregated Deep Local Features for Remote Sensing Image Retrieval [PDF]
Remote Sensing, 2019 Remote Sensing Image Retrieval remains a challenging topic due to the special nature of Remote Sensing imagery. Such images contain various different semantic objects, which clearly complicates the retrieval task. In this paper, we present an image retrieval pipeline that uses attentive, local convolutional features and aggregates them using the Vector
Imbriaco, Raffaele +3 more
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Advanced Local Binary Patterns for Remote Sensing Image Retrieval [PDF]
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018 The standard Local Binary Pattern (LBP) is considered among the most computationally efficient remote sensing (RS) image descriptors in the framework of large-scale content based RS image retrieval (CBIR). However, it has limited discrimination capability for characterizing high dimensional RS images with complex semantic content. There are several LBP
Tekeste, Issayas, Demir, Begum
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Impact of Feature Representation on Remote Sensing Image Retrieval [PDF]
International Journal on Recent and Innovation Trends in Computing and Communication, 2023 Remote sensing images are acquired using special platforms, sensors and are classified as aerial, multispectral and hyperspectral images. Multispectral and hyperspectral images are represented using large spectral vectors as compared to normal Red, Green, Blue (RGB) images.
Monali P. Mahajan, S. M. Kamalapur
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An Intra-Class Ranking Metric for Remote Sensing Image Retrieval
Remote Sensing, 2023 With the rapid development of internet technology in recent years, the available remote sensing image data have also been growing rapidly, which has led to an increased demand for remote sensing image retrieval.
Pingping Liu +5 more
doaj +1 more source
Remote Sensing Image Retrieval Based on Deep Multi-Similarity Hashing Method [PDF]
Jisuanji gongcheng, 2023 Hashing methods are widely used in remote sensing image retrieval owing to their low storage and high efficiency.Unsupervised hashing methods for remote sensing image retrieval tasks are often associated with unreliable pseudo-labeling, the same training
HE Yue, CHEN Guangsheng, JING Weipeng, XU Zekun
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Toward Multilabel Image Retrieval for Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, 2022 The availability of large-scale remote sensing (RS) data facilitates a wide range of applications, such as disaster management and urban planning. An approach for such problems is image retrieval, where, given a query image, the goal is to find the most relevant match from a database. Most RS literature has been focused on single-label retrieval, where
Raffaele Imbriaco +3 more
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Multiscale Context Deep Hashing for Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 With the advancement of remote sensing satellites and sensor technology, the quantity and diversity of remote sensing imagery have exhibited a sustained trend of growth.
Dongjie Zhao +2 more
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Toward Remote Sensing Image Retrieval Under a Deep Image Captioning Perspective [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 The performance of remote sensing image retrieval (RSIR) systems depends on the capability of the extracted features in characterizing the semantic content of images. Existing RSIR systems describe images by visual descriptors that model the primitives (such as different land-cover classes) present in the images. However, the visual descriptors may not
Genc Hoxha, Farid Melgani, Begum Demir
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Semantics-Consistent Representation Learning for Remote Sensing Image–Voice Retrieval [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2022 With the development of earth observation technology, massive amounts of remote sensing (RS) images are acquired. To find useful information from these images, cross-modal RS image-voice retrieval provides a new insight. This paper aims to study the task of RS image-voice retrieval so as to search effective information from massive amounts of RS data ...
Hailong Ning, Bin Zhao, Yuan Yuan
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Multi-Scale Feature Fusion Based on PVTv2 for Deep Hash Remote Sensing Image Retrieval
Remote Sensing, 2023 For high-resolution remote sensing image retrieval tasks, single-scale features cannot fully express the complexity of the image information. Due to the large volume of remote sensing images, retrieval requires extensive memory and time.
Famao Ye +5 more
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