Assessing the Influences of Band Selection and Pretrained Weights on Semantic-Segmentation-Based Refugee Dwelling Extraction from Satellite Imagery. - Yunya Gao; Getachew Workineh Gella; Nianhua Liu (AGILE Conf., 2022)

Detecting the Destruction of Populated Sites in Northeastern Nigeria from Sentinel-2 Satellite Imagery by EfficientNet. - Yunya Gao (GHTC, 2022)

Comparing the robustness of U-Net, LinkNet, and FPN towards label noise for refugee dwelling extraction from satellite imagery. - Yunya Gao; Stefan Lang 001; Dirk Tiede; Getachew Workineh Gella; Lorenz Wendt (GHTC, 2022)

Mapping of Dwellings in IDP/Refugee Settlements from Very High-Resolution Satellite Imagery Using a Mask Region-Based Convolutional Neural Network. - Getachew Workineh Gella; Lorenz Wendt; Stefan Lang 001; Dirk Tiede; Barbara Hofer; Yunya Gao; Andreas Braun 002 (Remote. Sens., 2022)

Deep-learning-based refugee-dwelling extraction from high-resolution satellite imagery for humanitarian operations. - Yunya Gao; Yukun Liu (IHTC, 2023)

Spatially transferable dwelling extraction from Multi-Sensor imagery in IDP/Refugee Settlements: A meta-Learning approach. - Getachew Workineh Gella; Dirk Tiede; Stefan Lang 001; Lorenz Wendit; Yunya Gao (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian Operations. - Yunya Gao (CoRR, 2024)

PWDViTNet: A lightweight early pine wilt disease detection model based on the fusion of ViT and CNN. - Zhichao Chen; Haifeng Lin; Di Bai 001; Jingjing Qian; Hongping Zhou; Yunya Gao (Comput. Electron. Agric., 2025)