KERNEL MAD ALGORITHM FOR RELATIVE RADIOMETRIC NORMALIZATION
The multivariate alteration detection (MAD) algorithm is commonly used in relative radiometric normalization. This algorithm is based on linear canonical correlation analysis (CCA) which can analyze only linear relationships among bands. Therefore, we first introduce a new version of MAD in this stu...
Main Authors: | Y. Bai, P. Tang, C. Hu |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2016-06-01
|
Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-1/49/2016/isprs-annals-III-1-49-2016.pdf |
Similar Items
-
A relative radiometric normalization method for enhancing radiometric consistency of time-series imageries
by: Xu, H, et al.
Published: (2023) -
Relative Radiometric Normalization of Multitemporal images
by: Andrés Castillo Sanz, et al.
Published: (2010-12-01) -
A Relative Radiometric Normalization Method for Enhancing Radiometric Consistency of Landsat Time-Series Imageries
by: Hanzeyu Xu, et al.
Published: (2023-01-01) -
A multi-rule-based relative radiometric normalization for multi-sensor satellite images
by: Xu, H, et al.
Published: (2023) -
TRANCO: Thermo radiometric normalization of crop observations
by: Juanma Cintas, et al.
Published: (2023-04-01)