| Item type |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2023-03-30 |
| タイトル |
|
|
タイトル |
稲の生育診断のための圃場写真の変換と合成 |
| タイトル |
|
|
タイトル |
Transformation and Composition of Field Pictures for Estimation of Plant Growth in Paddy Field |
|
言語 |
en |
| 言語 |
|
|
言語 |
jpn |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
image transformation |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
image composition |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
parallel projected image |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
growth diagnosis |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
departmental bulletin paper |
| 著者 |
田中, 健太郎
山下, 英生
Tanaka, Kentaro
Yamashita, Hideo
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
It is important to agricultural production to estimate a growth state of rice in paddy field. The system that diagnoses the growth of rice by the image analysis is proposed. This system transforms bird’s-eye view images of paddy fields to top views of a parallel projection and analyzes them. Image analysis is performed for each image. Therefore, there is a possibility that we cannot diagnose all farms within a limited period in case a farm to diagnose is wide. Analytical time is shortened by composing plural plane views to one piece of image. In this paper, transformation and composition methods of field pictures are proposed. The angle of depression of the camera is automatically calculated from the field picture and the map, and the field images are transformed to a parallel projected image. Parallel projected field image of target area is made by transforming them to be suitable for the map, and composing it. |
| 書誌情報 |
広島工業大学紀要. 研究編
巻 44,
p. 291-296,
発行日 2010-02
|
| 出版者 |
|
|
出版者 |
広島工業大学 |
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
13469975 |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11599110 |
| フォーマット |
|
|
内容記述タイプ |
Other |
|
内容記述 |
application/pdf |
| 著者版フラグ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 日本十進分類法 |
|
|
主題Scheme |
NDC |
|
主題 |
007.642 |
kiyo44291.pdf (2.2 MB)
