Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing [PDF]
IEEE Geoscience and Remote Sensing Letters, 2021 Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. Although existing unsupervised hashing methods are suitable for operational applications, they exhibit limitations when accurately ...
Ruben Fernandez-Beltran +3 more
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A Light-Weighted Hypergraph Neural Network for Multimodal Remote Sensing Image Retrieval
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 With the continuous maturity of remote sensing technology, the obtained remote sensing images' quality and quantity have surpassed any previous period.
Hongfeng Yu +6 more
doaj +1 more source
Retrieval of Remote Sensing Images with Pattern Spectra Descriptors [PDF]
ISPRS International Journal of Geo-Information, 2016 The rapidly increasing volume of visual Earth Observation data calls for effective content based image retrieval solutions, specifically tailored for their high spatial resolution and heterogeneous content. In this paper, we address this issue with a novel local implementation of the well-known morphological descriptors called pattern spectra. They are
Bosilj, Petra +3 more
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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
Earth Sciences Research Journal, 2018 Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
doaj +1 more source
A Fusion Encoder with Multi-Task Guidance for Cross-Modal Text–Image Retrieval in Remote Sensing
Remote Sensing, 2023 In recent years, there has been a growing interest in remote sensing image–text cross-modal retrieval due to the rapid development of space information technology and the significant increase in the volume of remote sensing image data.
Xiong Zhang +6 more
doaj +1 more source
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing [PDF]
, 2019 We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi ...
Banerjee, Biplab +3 more
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Segmentation of remote sensing images using similarity measure based fusion-MRF model [PDF]
, 2014 Classifying segments and detecting changes in terrestrial areas are important and time-consuming efforts for remote sensing image analysis tasks, including comparison and retrieval in repositories containing multitemporal remote image samples for the ...
Shadaydeh, Maha, Szirányi, Tamás
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Online Hashing for Scalable Remote Sensing Image Retrieval [PDF]
Remote Sensing, 2018 Recently, hashing-based large-scale remote sensing (RS) image retrieval has attracted much attention. Many new hashing algorithms have been developed and successfully applied to fast RS image retrieval tasks. However, there exists an important problem rarely addressed in the research literature of RS image hashing.
Li, Peng +3 more
openaire +2 more sources
Optical thickness and effective radius of Arctic boundary-layer clouds retrieved from airborne nadir and imaging spectrometry [PDF]
, 2013 Arctic boundary-layer clouds in the vicinity of Svalbard (78° N, 15° E) were observed with airborne remote sensing and in situ methods. The cloud optical thickness and the droplet effective radius are retrieved from spectral radiance data from the nadir ...
Bierwirth, E. +8 more
core +2 more sources
Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval
Remote Sensing, 2019 Recently, the demand for remote sensing image retrieval is growing and attracting the interest of many researchers because of the increasing number of remote sensing images.
Lirong Han +5 more
doaj +1 more source