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Found 7 papers, 3 papers with code
A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial information for decision-making.
Local Window Attention Transformer for Polarimetric SAR Image Classification
The PolSARFormer outperformed the Swin Transformer and FNet by the margin of 5. 86% and 17. 63%, in terms of average accuracy in the San Francisco data benchmark.
CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval
While we define a cross-modal triplet loss to ensure the discriminative nature of the shared space, an innovative cross-modal attention learning strategy is also proposed to guide feature extraction from the image domain exploiting information from the respective sketch counterpart.
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
We perform a thorough bench-marking of this dataset and demonstrate that the proposed network outperforms other state-of-the-art methods for zero-shot sketch-based retrieval framework in remote sensing.
A PolSAR Scattering Power Factorization Framework and Novel Roll-Invariant Parameters Based Unsupervised Classification Scheme Using a Geodesic Distance
The product of the total power (Span) with these weights provides the non-negative scattering power components.
CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In 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-label image retrieval between very high resolution (VHR) images and speech based label annotations.
Unsupervised Classification of PolSAR Data Using a Scattering Similarity Measure Derived from a Geodesic Distance
This geodesic distance is obtained between an elementary target and the observed Kennaugh matrix, and it is further utilized to compute a similarity measure between scattering mechanisms.
