2024
SAR2NDVI: Pre-Training for SAR-to-NDVI Image Translation
Daiki Kimura, Tatsuya Ishikawa, Masanori Mitsugi, Yasunori Kitakoshi, Takahiro Tanaka, Naomi Simumba +4
ICASSP 2024accepted
Geospatial machine learning is of growing importance in various global remote-sensing applications, particularly in the realm of vegetation monitoring. However, acquiring accurate ground truth data for geospatial tasks remains a significant challenge, often entailing considerable time and effort. Fo…