A Rapid Self-Supervised Deep-Learning-Based Method for Post-Earthquake Damage Detection Using UAV Data (Case Study: Sarpol-e Zahab, Iran). - Narges Takhtkeshha; Ali Mohammadzadeh; Bahram Salehi (Remote. Sens., 2023)

Automatic Annotation Of 3D Multispectral LiDAR Data For Land Cover Classification. - Narges Takhtkeshha; Onur Can Bayrak; Gottfried Mandlburger; Fabio Remondino; Antero Kukko; Juha Hyyppä (IGARSS, 2024)

Multispectral Light Detection and Ranging Technology and Applications: A Review. - Narges Takhtkeshha; Gottfried Mandlburger; Fabio Remondino; Juha Hyyppä (Sensors, 2024)

Unsupervised deep learning for semantic segmentation of multispectral LiDAR forest point clouds. - Lassi Ruoppa; Oona Oinonen; Josef Taher; Matti Lehtomäki; Narges Takhtkeshha; Antero Kukko; Harri Kaartinen; Juha Hyyppä (CoRR, 2025)

Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms. - Josef Taher; Eric Hyyppä; Matti Hyyppä; Klaara Salolahti; Xiaowei Yu; Leena Matikainen; Antero Kukko; Matti Lehtomäki; Harri Kaartinen; Sopitta Thurachen; Paula Litkey; Ville Luoma; et al. (CoRR, 2025)

3D forest semantic segmentation using multispectral LiDAR and 3D deep learning. - Narges Takhtkeshha; Lauris Bocaux; Lassi Ruoppa; Fabio Remondino; Gottfried Mandlburger; Antero Kukko; Juha Hyyppä (CoRR, 2025)