Cross-Domain Classification Based on Frequency Component Adaptation for Remote Sensing Images
Cross-domain scene classification requires the transfer of knowledge from labeled source
domains to unlabeled target domain data to improve its classification performance. This task …
domains to unlabeled target domain data to improve its classification performance. This task …
[HTML][HTML] Spatial-Topological-Semantic alignment for cross domain scene classification of remote sensing images with few source labels
B Li, L Gong, Q Wang, X Guo, Z Li - International Journal of Applied Earth …, 2024 - Elsevier
Abstract Domain adaptation is crucial for information integration of remote sensing systems,
such as satellite constellations and space stations, to intelligently achieving full domain …
such as satellite constellations and space stations, to intelligently achieving full domain …
Quantitative regularization in robust vision transformer for remote sensing image classification
H Song, Y Yuan, Z Ouyang, Y Yang… - The Photogrammetric …, 2024 - Wiley Online Library
Abstract Vision Transformers (ViTs) are exceptional at vision tasks. However, when applied
to remote sensing images (RSIs), existing methods often necessitate extensive modifications …
to remote sensing images (RSIs), existing methods often necessitate extensive modifications …
[PDF][PDF] Deeplearning-basedsceneunderstandingfor autonomous robots: a survey
J Ni, Y Chen, G Tang, J Shi, W Cao, P Shi - 2023 - researchgate.net
Autonomous robots are a hot research subject within the fields of science and technology,
which has a big impact on social-economic development. The ability of the autonomous …
which has a big impact on social-economic development. The ability of the autonomous …
Supervised feature selection based on interclass distinctions for scene classification
H Wang, Y Tang, X Huang, M Wu… - … Security (ICCAIS 2023), 2024 - spiedigitallibrary.org
The high intraclass variations and high interclass similarities make high spatial resolution
(HSR) image interpretation very difficult. In this paper, we provide a feature selection method …
(HSR) image interpretation very difficult. In this paper, we provide a feature selection method …