News


EOScale and SLURP available on github.com

EOScale and SLURP available on github.com
SLURP had been presented at IGARSS 2024 (Athens, Greece) in a "Remote Sensing in Land Use Applications" oral session. The presentation focused on an original algorithm for low & high vegetation detection from a single VHR optical image, based on clustering and segmentation.
This algorithm had been implemented in SLURP and relies on EOScale to improve computing capabilities (enable efficient multiprocessing in Python).


News section is now open
