IEEE

Universal Domain Adaptation Meets Multi-Modality Remote Sensing Data for Scene Classification

Abstract: Universal domain adaptation is a practical technique for remote sensing scene classification, since the expensive collection of labels in remote sensing scenarios usually results in the ...
IEEE

Generative Information-guided Heterogeneous Cross-fusion Network with Contrastive Learning for Multimodal Remote Sensing Image Classification

Abstract: Multimodal remote sensing (RS) images exhibit distinct structure and distribution characteristics, making it challenging to design an effective multimodal RS image classification algorithm.
GitHub

Radiation-Tolerant Unsupervised Deep Image Stitching for Remote Sensing

3 Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. 4 DFH Satellite Co., Ltd., Beijing, China. For PyTorch dependency, see ...
Frontiers

Efficient remote sensing image super-resolution with residual-enhanced wavelet and key-value adaptation

Table 1. Computational comparison of SR architectures. Additionally, computational overhead remains prohibitive for edge deployment. Existing efficient methods (Wang et al., 2024) require L sequential ...
GitHub

yangxhcaf/Python_for_GIS_and_RS

There was an error while loading. Please reload this page.