3 papers
cs.CV2024
Deep Learning Meets Satellite Images -- An Evaluation on Handcrafted and Learning-based Features for Multi-date Satellite Stereo Images
Shuang Song, Luca Morelli, Xinyi Wu +3
A critical step in the digital surface models(DSM) generation is feature matching. Off-track (or multi-date) satellite stereo images, in particular, can challenge the performance o…
eess.IV2024
Remote Sensing Image Enhancement through Spatiotemporal Filtering
Hessah Albanwan
The analysis of time-sequence satellite images is a powerful tool in remote sensing; it is used to explore the statics and dynamics of the surface of the earth. Usually, the qualit…
eess.IV2024
Spatial, Temporal, and Geometric Fusion for Remote Sensing Images
Hessah Albanwan
Remote sensing (RS) images are important to monitor and survey earth at varying spatial scales. Continuous observations from various RS sources complement single observations to im…