MSISR-STF: Spatiotemporal Fusion via Multilevel Single-Image Super-Resolution

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 24; p. 5675
• Main Authors: Zheng, Xiongwei, Feng, Ruyi, Fan, Junqing, Han, Wei, Yu, Shengnan, Chen, Jia
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2023
• Subjects: Algorithms; Artificial intelligence; Comparative analysis; Complementarity; Computer vision; data collection; Data fusion; Data integration; Graph neural networks; graphs; IGNN; image analysis; Image processing; Image resolution; Interpolation; Methods; Multilevel; Neural networks; Noise control; Noise generation; Remote sensing; Satellites; SISR; Spatial data; Spatial discrimination; Spatial resolution; spatial variation; Spatiotemporal data; spatiotemporal image fusion; Technology application; Temporal resolution; Thin plates; TPS; China

Due to technological limitations and budget constraints, spatiotemporal image fusion uses the complementarity of high temporal–low spatial resolution (HTLS) and high spatial–low temporal resolution (HSLT) data to obtain high temporal and spatial resolution (HTHS) fusion data, which can effectively s...