Differences

This shows you the differences between two versions of the page.

--- open_source_canopy_classification [2020-03-25 11:59 am] – hcho
+++ open_source_canopy_classification [2021-01-21 10:15 pm] (current) – hcho
@@ Line 8: / Line 8: @@
 Its focus is on creating an open source canopy classification system designed
 specifically to utilize [[https://www.fsa.usda.gov/programs-and-services/aerial-photography/imagery-programs/naip-imagery/|NAIP imagery]]
-within an efficient python module built on
+within an efficient Python module built on
 [[https://scikit-learn.org/stable/|Scikit-learn]],
 [[https://gdal.org/|GDAL]], and
 [[https://numpy.org/|NumPy]].
-The goal is to create an alternative to proprietary classification systems (e.g., Feature Analyst by Textron Systems) to be used for ongoing research into canopy change and the need for efficent data creation that is required.
+The goal is to create an alternative to proprietary classification systems (e.g., Feature Analyst by Textron Systems) to be used for ongoing research into canopy change and the need for efficient data creation that is required.
+===== Presented in the 2020 UNG Annual Research Conference =====
+  * [[https://youtu.be/6b1n374iBwI?t=4792|Talk]]
+  * [[https://ungprod-my.sharepoint.com/:p:/g/personal/ocsmit7654_ung_edu/EZt3OuJGmkxCsf4zT5MAGesBX_ovLA6UZRVKAw0F5ZGEjQ?e=V72Aat|Slides]]
+===== Publications =====
+  * {{ ::canopy_foss_poster.pdf | Poster}}
+  * {{:a_random_forests_based_canopy_classification_system_utilizing_naip_imagery_within_a_python_framework.pdf | Paper}}
 ===== Software =====
 The source code for the project can be viewed in the
-[[https://github.com/ocsmit/canopy_foss|Canopy FOSS GitHub repository]].
+[[https://github.com/ocsmit/canoclass|CanoClass GitHub repository]].
+{{tag>projects}}