書誌事項
- タイトル別名
-
- Development of an estimation method for the rice growth status, yield and protein content using airborne hyperspectral data
- コウクウキ ハイパースペクトルデータ オ モチイタ スイトウ ノ セイイク ・ シュウリョウ ・ タンパク ガンユウリツ ノ スイテイ シュホウ ノ カイハツ
この論文をさがす
抄録
This paper describes an estimation method for crop conditions using Lasso (Least Absolute Shrinkage and Selection Operator) regression applying to airborne hyperspectral data. Lasso regression, which uses the multiple linear regression analysis with regularization, is suitable for analysis of a fewer measurement dataset with huge number of bands. The conventional estimation method of Lasso regression tends to select the regression model with an excessive number of bands. In addition, noises included in hyperspectral data have the potential to affect the Lasso regression model building. A method proposed in this paper achieves an improvement of the Lasso regression model building by using the moving average applied to hyperspectral data and Akaike's Information Criterion (AIC) applied in the estimation procedure for the regularization parameter.<br>In the results of estimating the rice growth status using the airborne hyperspectral sensor AISA, Lasso regression with AIC accomplished to select more appropriate bands though the resultant correlation coefficient might be nearly equal to the one given by conventional method using the criterion of mean squared error with regularization. By adopting the normal distribution function with adjustable standard deviations for the window function in the moving average, it is able to exhibit various noise reduction levels. Our method currently proposed demonstrates that the optimal regression model for the hyperspectral data under noisy condition is necessary to have an appropriate moving average.
収録刊行物
-
- 写真測量とリモートセンシング
-
写真測量とリモートセンシング 51 (5), 270-284, 2012
一般社団法人 日本写真測量学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282679055090688
-
- NII論文ID
- 10031128346
-
- NII書誌ID
- AN00111450
-
- ISSN
- 18839061
- 02855844
-
- NDL書誌ID
- 024092405
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可