Robust Cross-Modal Remote Sensing Image Retrieval via Maximal Correlation Augmentation

Z Wang, X Wang, G Li, C Li - IEEE Transactions on Geoscience …, 2024 - ieeexplore.ieee.org
Most of existing studies regarding cross-modal content-based remote sensing image
retrieval (CM-CBRSIR) focus on reducing/enlarging the Euclidean distances of cross modal …

HGR Maximal Correlation Augmented Cross-Modal Remote Sensing Retrieval

Z Wang, X Wang, G Li, C Li - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Most existing methods for cross-modal content-based remote sensing image retrieval (CM-
CBRSIR) have only focused on implementations by optimizing the projected features in a …

Fusion-based correlation learning model for cross-modal remote sensing image retrieval

Y Lv, W Xiong, X Zhang, Y Cui - IEEE Geoscience and Remote …, 2021 - ieeexplore.ieee.org
With the increasing of cross-modal data, cross-modal retrieval has attracted more attention
in remote sensing (RS), since it provides a more flexible and convenient way to obtain …

A novel self-supervised cross-modal image retrieval method in remote sensing

G Sumbul, M Müller, B Demir - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Due to the availability of multi-modal remote sensing (RS) image archives, one of the most
important research topics is the development of cross-modal RS image retrieval (CM-RSIR) …

[HTML][HTML] Dual modality collaborative learning for cross-source remote sensing retrieval

J Ma, D Shi, X Tang, X Zhang, L Jiao - Remote Sensing, 2022 - mdpi.com
Content-based remote sensing (RS) image retrieval (CBRSIR) is a critical way to organize
high-resolution RS (HRRS) images in the current big data era. The increasing volume of …

A transformer-based cross-modal image-text retrieval method using feature decoupling and reconstruction

H Zhang, Y Sun, Y Liao, SY Xu, R Yang… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
With the increasing application of remote sensing technology, the task of cross-modal
retrieval of remote sensing images (CMRRS) has gradually attracted widespread attention …

A Texture and Saliency Enhanced Image Learning Method For Cross-Modal Remote Sensing Image-Text Retrieval

R Yang, D Zhang, YH Guo… - IGARSS 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Cross-modal remote sensing image-text retrieval (CMRSITR) can retrieve images of interest
from a vast amount of remote sensing images and has received significant attention in …

A lightweight multi-scale crossmodal text-image retrieval method in remote sensing

Z Yuan, W Zhang, X Rong, X Li, J Chen… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
Remote sensing (RS) crossmodal text-image retrieval has become a research hotspot in
recent years for its application in semantic localization. However, since multiple inferences …

[HTML][HTML] Content-based high-resolution remote sensing image retrieval via unsupervised feature learning and collaborative affinity metric fusion

Y Li, Y Zhang, C Tao, H Zhu - Remote Sensing, 2016 - mdpi.com
With the urgent demand for automatic management of large numbers of high-resolution
remote sensing images, content-based high-resolution remote sensing image retrieval (CB …

Multi-scale interactive transformer for remote sensing cross-modal image-text retrieval

Y Wang, J Ma, M Li, X Tang, X Han… - IGARSS 2022-2022 …, 2022 - ieeexplore.ieee.org
Cross-modal Remote sensing (RS) image-text retrieval (CMR-SITR) plays a crucial role in
the RS community. A common way for CMRSITR is to extract texts and RS images' feature …