Tag: python

Congratulations to our labmates and collaborators: Ben Weinstein, Sarah Graves, Sergio Marconi, Aditya Singh, Alina Zare, Dylan Stewart, Stephanie Bohlman and Ethan P. White!  Their paper, “A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network”, was recently accepted to PLOS Computational Biology.  […]

Abstract: Broad scale remote sensing promises to build forest inventories at unprecedented scales. A crucial step in this process is designing individual tree segmentation algorithms to associate pixels into delineated tree crowns. While dozens of tree delineation algorithms have been proposed, their performance is typically not compared based on standard data or evaluation metrics, making […]

Sparsity Promoting Iterated Constrained Endmemebers (SPICE) is now installable with conda!  SPICE is an algorithm for finding hyperspectral endmembers and corresponding proportions for a scene.  The Python implementation can now be installed easily from PyPI or through the conda-forge.   Installation is as easy as hitting pip install SPICE-HSI in your python terminal or conda install […]