D Hou, S Wang, X Tian, H Xing - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
The discriminative ability of image features plays a decisive role in content-based remote sensing image retrieval (CBRSIR). However, the widely-used convolutional neural networks …
W Xiong, Y Lv, Y Cui, X Zhang, X Gu - Remote Sensing, 2019 - mdpi.com
Effective feature representations play a decisive role in content-based remote sensing image retrieval (CBRSIR). Recently, learning-based features have been widely used in …
M Huang, L Dong, W Dong, G Shi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of remote sensing sensor technology, the number of remote sensing images (RSIs) has exploded. How to effectively retrieve and manage this massive …
L Liu, Y Wang, J Peng, A Plaza - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
For deep networks, accurate image similarities cannot be well characterized with limited iterations, so the latent relationships between images can be embedded to enhance image …
W Zhou, H Guan, Z Li, Z Shao… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest from a large remote sensing image archive, which has remained to be a hot topic over the …
Due to the specific characteristics and complicated contents of remote sensing (RS) images, remote sensing image retrieval (RSIR) is always an open and tough research topic in the RS …
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 …
L Fan, H Zhao, H Zhao - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
With the explosive growth of remote sensing big data, large-scale remote sensing image retrieval (RSIR) has become one of the most challenging tasks in data mining, attracting …