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|Table of Contents|

ASTER遥感图像融合与特征变换的实用性评价(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2006年03期
Page:
78-80
Column:
研究论文
publishdate:
2006-03-20

Article Info:/Info

Title:
Practicality Evaluation on Fusion and Feature Transform of ASTER Remotely Sensed Imagery
Article ID:
1000-2006(2006)03-0078-03
Author(s):
Li Ming-shi1 TAN Ying1 PENG Sbi-kui1* ZHOU Lin2 MA Yi-xiu2
1. College of Forest Resources and Environment Nanjing Forestry University, Nanjing 210037, China; 2. Forestry Division of Agricultural Bureau of Jianhu County Jiangsu Province, Jianhu 224700, China
Keywords:
ASTER Poplar Image fusion Separability Performance of modeling
Classification number :
S757
DOI:
10.3969/j.jssn.1000-2006.2006.03.017
Document Code:
A
Abstract:
On the basis of image fusion and feature transform for ASTER original 9 bands, in combination with the training data of 8 land cover types distributed within the study area and the measures of 48 sample plots of poplar, objective evaluation in terms of performance of classification and correlation of modeling was conducted in this paper. The results indicated that combination of vegetation indices with the highest average separability was taken as the optimal subset for subsequent classification to better characterize their spatial distribution of predominant land cover types. Meanwhile, H feature derived from HIS fusion possessed a strong correlation with ground average height and stem volume of poplar, and NDVI played a significant role in retrieving age of poplar.

References

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Last Update: 2013-05-20