跳到主要內容

臺灣博碩士論文加值系統

(18.97.9.168) 您好!臺灣時間:2024/12/15 07:02
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:蘇婉霞
研究生(外文):Su, Wan-Xia
論文名稱:ERS-1SAR與LandsatTM組合影像應用於埔里與南投地區之地覆分類
論文名稱(外文):Land Cover Classification with Conbination of ERS-1 SAR and Landsat TM Data over Pu-Li and Nan-Tou Areas
指導教授:黃凱易黃凱易引用關係
指導教授(外文):Huang, Kai-Yi
學位類別:碩士
校院名稱:國立中興大學
系所名稱:森林研究所
學門:農業科學學門
學類:林業學類
論文種類:學術論文
論文出版年:1997
畢業學年度:85
語文別:中文
論文頁數:94
中文關鍵詞:遙測雷達森林
外文關鍵詞:Remote SensingRADARFORESTRY
相關次數:
  • 被引用被引用:0
  • 點閱點閱:241
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
In remote sensing, each of the radar and the optical sensor has
its own advantages
over the other. Clearly the synergism of radar data and visible
and reflected infrared
for land resource applications is becoming of greater practical importance. The
objective of this study was to investigate how ERS-1 SAR could effectively
discriminate land cover types in Pu-Li mountain area and Nan-
Tou flat land area and
eventually to determine if the synergism of ERS-1 SAR and TM data could be
achieved to improve significantly the classification accuracies
of land cover types in
these two areas. Statistical analysis and preliminary
interpretation of the radar backscatter
from different land cover types was conducted to establish a
look-up table for surface
features and their signatures on the SAR image. Multispectral
classifications using the
maximum likelihood classifier and accuracy assessment were
performed both on the
composite images and on the TM images. The results showed that
the classification
accuracies of the composite images over Pu-Li and Nan-Tou areas were decreased
slightly with the addition of SAR C band. In the mountain area,
radar backscatter was
dominated by topographic slope due to ERS-1 SAR(s high
depression angle (small local
incidence angle). The within-category variance of each land
cover type became greater
than among-category variance due to the topographic effects
introduced by the high
depression angle. This made ERS-1 SAR C band difficult to
discriminate land cover types
in Pu-Li area. In the flat land area, ERS-1 SAR could not
discriminate land cover types
effectively, since it operates on a single frequency and on a
single polarization mode and
this frequency is not optimal for land cover classification.
Therefore, ERS-1 SAR has poor
discrimination ability for land cover types in these two areas.
Nevertheless, there may have
a high possibility to improve land cover mapping with the
synergistic use of SAR and
visible/infrared data if multi-frequency, multi-polarization
SAR data with an appropriate
depression angle that can minimize topographic effects are
used. The follow-up studies will
be to investigate how to determine an optimal SAR band combination.
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top