Weighted Least Square Methods for MaterialAbundance Estimation in Hyperspectral Image
碩士 === 國立中央大學 === 資訊工程研究所 === 93 === Recently, hyperspectral images are widely used for target detection in remotely sensed imagery. They take advantage of hundreds of contiguous spectral channels to uncover materials that usually cannot be resolved by multispectal images. However, the ground resolu...
Main Authors: | Tzu-Hsuan Wei, 魏子軒 |
---|---|
Other Authors: | Kuo-Chin Fan |
Format: | Others |
Language: | zh-TW |
Published: |
2005
|
Online Access: | http://ndltd.ncl.edu.tw/handle/60623984756782539802 |
Similar Items
-
Hyperspectral Pansharpening Based on Intrinsic Image Decomposition and Weighted Least Squares Filter
by: Wenqian Dong, et al.
Published: (2018-03-01) -
Weighted fuzzy clustering for (fuzzy) constraints in multivariate image analysis–alternating least square of hyperspectral images
by: Siewert Hugelier, et al.
Published: (2016-12-01) -
Classification of Hyperspectral Images Using Kernel Fully Constrained Least Squares
by: Jianjun Liu, et al.
Published: (2017-11-01) -
Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
by: Xinchuan Li, et al.
Published: (2014-07-01) -
Prediction of beef marblingusing Hyperspectral Imaging (HSI) and Partial Least Squares Regression (PLSR)
by: Victor Aredo, et al.
Published: (2017-01-01)