@article{oai:mejiro.repo.nii.ac.jp:00001986,
 author = {川島, 重徳 and KAWASHIMA, Shigenori},
 issue = {19},
 journal = {目白大学総合科学研究, Mejiro Journal of Social and Natural Sciences},
 month = {Mar},
 note = {pdf, The possibility of forest landscape evaluation was explored using a 360-degree omnidirectional image and an AI-based image classifier, Microsoft Lobe. An omnidirectional image, which contains broader information than that in ordinary images, was divided by direction and converted into ordinary images for analysis by the classifier. The classifier had learned to classify images into two categories: conifer tree forest-like landscapes and hardwood forest-like landscapes. Results of the analysis indicated the possibility of evaluation of surrounding landscapes of a shooting point.},
 pages = {67--70},
 title = {全天球画像を活用した機械学習ツールによる林内景観評価の可能性},
 year = {2023}
}