針對常規(guī)線性邊緣檢測器處理遙感圖象時細(xì)節(jié)丟失嚴(yán)重的缺點，介紹了數(shù)學(xué)形態(tài)學(xué)基
本理論，討論了數(shù)學(xué)形態(tài)學(xué)在邊緣檢測中的應(yīng)用。形態(tài)學(xué)的灰度梯度運算是在經(jīng)典形態(tài)變換基礎(chǔ)上提出的一類非線性算子。對于結(jié)構(gòu)元素的選取作了一定的說明。另外，還與傳統(tǒng)線性算子的處理結(jié)果進行了比較。通過計算機對遙感圖像的模擬實驗表明：基于形態(tài)灰度梯度運算的遙感圖像邊緣檢測方法，不但幾何意義明確，易于構(gòu)造，而且性能也優(yōu)于傳統(tǒng)檢測算子，證實了該方法的可行性。
關(guān)鍵詞：數(shù)學(xué)形態(tài)學(xué)遙感圖像灰度梯度邊緣檢測
Abstract:In this paper,the basic theory of the morphology is presented and the morphology
applied to detecting edge is discussed,in the light of the classical inear edge detector lose RS
image details severely.The morphology of Gray Gradient is a non-linear operations based on
standard morphological operations.We state the choice of the structuring element and compare with the classical edgede detection operators .The experimental results show the edge detection method of RS Images based on mathematical morphology of gray gradient better than the traditional operators not only the geometrical properties but also the effects of the structuring element and approve the feasibility of this method.
Key words:Mathematical Morphology ；Remote Sensing Images; Gray Gradient；edge detection