Home ›
Entities
› academia
› ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
Research article (Remote Sensing, 2022) · cited 54× · AI/ML
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data
Summary
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data is a scholarly article[1].
Key Facts
ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data. Retrieved May 24, 2026, from https://4ort.xyz/entity/ace-r-cnn-an-attention-complementary-and-edge-detection-based-instance-segmentation-algorithm-for-individual-tree-specie
MLA“ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ace-r-cnn-an-attention-complementary-and-edge-detection-based-instance-segmentation-algorithm-for-individual-tree-specie.
BibTeX@misc{4ortxyz_ace-r-cnn-an-attention-complementary-and-edge-detection-based-instance-segmentation-algorithm-for-individual-tree-specie_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data}}, year = {2026}, url = {https://4ort.xyz/entity/ace-r-cnn-an-attention-complementary-and-edge-detection-based-instance-segmentation-algorithm-for-individual-tree-specie}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ACE R-CNN: An Attention Complementary and Edge Detection-Based Instance Segmentation Algorithm for Individual Tree Species Identification Using UAV RGB Images and LiDAR Data — https://4ort.xyz/entity/ace-r-cnn-an-attention-complementary-and-edge-detection-based-instance-segmentation-algorithm-for-individual-tree-specie (retrieved 2026-05-24)
