DOMAIN ADAPTATION WITH CYCLEGAN FOR CHANGE DETECTION IN THE AMAZON FOREST

7 citations as recorded by crossref.

1. An unsupervised domain adaptation approach for change detection and its application to deforestation mapping in tropical biomes P. Soto Vega et al.
2. Weakly Supervised Domain Adversarial Neural Network for Deforestation Detection in Tropical Forests P. Vega et al.
3. Cycle and Self-Supervised Consistency Training for Adapting Semantic Segmentation of Aerial Images H. Gao et al.
4. Adversarial domain adaptation for deforestation detection in remote sensing imagery J. dos Santos et al.
5. Full-Level Domain Adaptation for Building Extraction in Very-High-Resolution Optical Remote-Sensing Images D. Peng et al.
6. Survey on remote sensing scene classification: from traditional methods to large generative AI models Q. Huang & C. Hu
7. Synthesis and evaluation of seamless, large-scale, multispectral satellite images using Generative Adversarial Networks on land use and land cover and Sentinel-2 data T. Dedring & A. Rienow