Deep Learning in Hyperspectral Image Reconstruction from Single RGB images - A Case Study on Tomato Quality Parameters. - Jiangsan Zhao; Dmitry Kechasov; Boris Rewald; Gernot Bodner; Michel Verheul; Nicholas Clarke; Jihong Liu Clarke (Remote. Sens., 2020)

Deep-Learning-Based Multispectral Image Reconstruction from Single Natural Color RGB Image - Enhancing UAV-Based Phenotyping. - Jiangsan Zhao; Ajay Kumar; Balaji Naik Banoth; Balram Marathi; Pachamuthu Rajalakshmi; Boris Rewald; Seishi Ninomiya; Wei Guo 002 (Remote. Sens., 2022)

Endmember-Assisted Camera Response Function Learning, Toward Improving Hyperspectral Image Super-Resolution Performance. - Jiangsan Zhao; Ying Qu 001; Seishi Ninomiya; Wei Guo 002 (IEEE Trans. Geosci. Remote. Sens., 2022)

Transformer in UAV Image-Based Weed Mapping. - Jiangsan Zhao; Therese With Berge; Jakob Geipel (Remote. Sens., 2023)

LDNet: High Accuracy Fish Counting Framework using Limited training samples with Density map generation Network. - Ximing Li 001; Yitao Zhuang; Baihao You; Zhe Wang 061; Jiangsan Zhao; Yuefang Gao; Deqin Xiao (J. King Saud Univ. Comput. Inf. Sci., 2024)

Predicting Soil Organic Matter, Available Nitrogen, Available Phosphorus and Available Potassium in a Black Soil Using a Nearby Hyperspectral Sensor System. - Shuming Wan; Jiaqi Hou; Jiangsan Zhao; Nicholas Clarke; Corné Kempenaar; Xueli Chen (Sensors, 2024)

InvNeRF-Seg: Fine-Tuning a Pre-Trained NeRF for 3D Object Segmentation. - Jiangsan Zhao; Jakob Geipel; Krzysztof Kusnierek; Xuean Cui (CoRR, 2025)