應用多重相位層級法在遙感影像以辨識滑坡區域

Applying a Multiphase Level Set Framework For Landslide Mapping Using Remote Sensing Images

邱振原(CHEN- YUAN CHIU)

指導教授 ： 徐松圻

朝陽科技大學/理工學院/營建工程系/博士(2019年)

摘要

遙感探測技術已成為國內外區域地質災害調查不可缺少的技術之一，然而，衛星多光譜影像判釋裸露地分類，常受到山區大氣雲霧、山體陰影以及影像散班訊號(Speckle Signals)現象干擾，嚴重影響判釋影像正確性，並容易產生誤判或遺漏等誤差。
本研究首先將研究區域SPOT 5衛星影像，利用MATLAB計算差異化植生指數(Normalized Difference Vegetation Index, NDVI)與穿透力較大短波紅外波段(Short Wave InfraRed，SWIR)進行初步分類，後續在應用多重相位層級法(Multiphase Level Set Framework)進行影像分割，研究結果顯示，可有效快速排除影像散班訊號問題，並可將複雜地形及地物分割成簡單物件，可解決空間辨識率問題，不因此受到影像本身解析度的影響，提高衛星影像判釋正確性，可以做為監控歷年南投縣仁愛鄉投89線道沿線山坡裸露地區域位置變化及可能發生滑坡趨勢。
研究發現2004年至2013年投89線道沿線山區裸露地面積隨著單一颱風豪雨事件變化最大，裸露邊坡破壞崩塌滑動面積最大。

關鍵字

MATLAB ； NDVI ； SWIR ； 多重相位層級法 ； 滑坡

並列摘要

Remote sensing technology has become one of the indispensable technologies for regional geological disaster investigations at home and abroad. However, satellite multispectral image interpretation of bare land classification, It is often interfered with by the mountain's atmospheric clouds, mountain shadows and Speckle Signals, which seriously affects the correctness of the interpretation
image and is prone to errors such as misjudgment or omission.
This study will first study the regional SPOT 5 satellite imagery. The MATLAB was used to calculate the Normalized Difference Vegetation Index (NDVI) and the Short Wave InfraRed (SWIR). Subsequent image segmentation using the Multiphase Level Set Framework. research shows, It can effectively and quickly eliminate the problem of image shifting signals, and can divide complex terrain and features into simple objects, which can solve the problem of spatial recognition rate. Therefore, it is not affected by the resolution of the image itself, and the correctness of satellite image interpretation can be improved. In order to monitor the changes in the location of the exposed areas on the slopes along the 89th line of Renai Township in Nantou County, and the possible landslide trend.
The study found that the exposed area of the mountainous areas along the 89th line from 2004 to 2013 changed the most with the single typhoon typhoon event,
and the exposed slope collapsed the largest.

並列關鍵字

MATLAB ； NDVI ； SWIR ； Multiphase Level Et Framework ； Landslide

參考文獻

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