Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping
碩士 === 國立嘉義大學 === 森林暨自然資源學系研究所 === 106 === Multispectral Image Classification can be used to land- cover patterns, but multispectral image classification is susceptible to changes in sunlight and terrain, which are limited by the classification of multispectral images. LiDAR system in the process of...
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ndltd-TW-106NCYU53590052019-09-05T03:29:23Z http://ndltd.ncl.edu.tw/handle/353byd Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping 利用大地衛星多光譜影像及空載光達資料繪製森林區土地被覆型之研究 羅嘉樂 碩士 國立嘉義大學 森林暨自然資源學系研究所 106 Multispectral Image Classification can be used to land- cover patterns, but multispectral image classification is susceptible to changes in sunlight and terrain, which are limited by the classification of multispectral images. LiDAR system in the process of access to information will not be affected by changes in solar light and terrain changes, therefore, in this study, we hope to output the relevant information features through the LiDAR system, such as the Canopy Height Model (CHM), texture entropy and gradient to assist the multispectral image of the land cover type classification. Pixel-based and Cluster-Based methods are used in the study. Both classification methods are classified by Support Vector Machine (SVM), and then compare the accuracy of the two classification methods. Selecting the lowest and the highest combination of accuracy in the two classification methods, and then adding the LiDAR feature information for the second classification. The results show that after adding the feature of LiDAR, the overall accuracy of the classification has improved significantly. The pixel-based classification method has the highest accuracy which OA is 89.5% and kappa 0.87. object-base classification method has the highest accuracy which OA is 90.5% and kappa 0.88. The results of this study show that use information of LiDAR characteristics to multispectral image classification has a great help. 林金樹 2018 學位論文 ; thesis 68 zh-TW |
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碩士 === 國立嘉義大學 === 森林暨自然資源學系研究所 === 106 === Multispectral Image Classification can be used to land- cover patterns, but multispectral image classification is susceptible to changes in sunlight and terrain, which are limited by the classification of multispectral images. LiDAR system in the process of access to information will not be affected by changes in solar light and terrain changes, therefore, in this study, we hope to output the relevant information features through the LiDAR system, such as the Canopy Height Model (CHM), texture entropy and gradient to assist the multispectral image of the land cover type classification. Pixel-based and Cluster-Based methods are used in the study. Both classification methods are classified by Support Vector Machine (SVM), and then compare the accuracy of the two classification methods. Selecting the lowest and the highest combination of accuracy in the two classification methods, and then adding the LiDAR feature information for the second classification. The results show that after adding the feature of LiDAR, the overall accuracy of the classification has improved significantly. The pixel-based classification method has the highest accuracy which OA is 89.5% and kappa 0.87. object-base classification method has the highest accuracy which OA is 90.5% and kappa 0.88. The results of this study show that use information of LiDAR characteristics to multispectral image classification has a great help.
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林金樹 |
author_facet |
林金樹 羅嘉樂 |
author |
羅嘉樂 |
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羅嘉樂 Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
author_sort |
羅嘉樂 |
title |
Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
title_short |
Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
title_full |
Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
title_fullStr |
Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
title_full_unstemmed |
Application of Landsat Multispectral Image and Airborne LiDAR Data on Mountainous Forest Land Cover Mapping |
title_sort |
application of landsat multispectral image and airborne lidar data on mountainous forest land cover mapping |
publishDate |
2018 |
url |
http://ndltd.ncl.edu.tw/handle/353byd |
work_keys_str_mv |
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