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Published on January 3, 2008

Author: Coralie

Source: authorstream.com

Automatic Tree-Crown Segmentation Using LM Filters and Balloons:  Automatic Tree-Crown Segmentation Using LM Filters and Balloons Bert Rawert Advisors: Howard and Ed Why? :  Why? Automatic forest inventory can provide a huge reduction in human effort required to track forest changes Cost-effective Interesting research Can be performed for an entire forest, not just a few stands. Assumptions:  Assumptions Trees are roughly circular or elliptical [Song03] One “highest point”, or treetop Brightest appearance near center [Daley98], [Wang04] Strategy:  Strategy Find treetops Attempt to find the boundary of each tree-crown Treetop Detection:  Treetop Detection Pass a circular window searching for peaks in the DEM and image intensity Whenever a DEM peak is “near” an intensity peak, mark the midpoint as a treetop (also mark lone intensity peaks) Tree-Crown Segmentation:  Tree-Crown Segmentation Initialize balloon as a circle around the treetop Expand until boundary is met (high gradient, low elevation, dark appearance) Iterations…:  Iterations… Automation:  Automation Process treetops in order from highest to lowest elevation Discard treetops that are inside a tree Comparison With Hand Segmentations:  Comparison With Hand Segmentations Comparison With Hand Segmentations:  Comparison With Hand Segmentations Comparison With Hand Segmentations:  Comparison With Hand Segmentations My algorithm tends to be more generous with the area identified as part of a tree. My algorithm found ~40% more trees because it is more likely to break larger “clumps” into multiple trees than the human segmenter. Improvements:  Improvements Reduce the expansion force Increase dependence on intensity gradient Get more hand segmentations Be more conservative with tree shape tests to throw out more segmentations Future Work:  Future Work Improve Snake Algorithm Try other methods of segmentation Tree-crown classification by species Change detection (size, death, disease detection, etc.)

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