資源簡(jiǎn)介
遙感圖像分割,包括七幅圖像matlab實(shí)現(xiàn)
代碼片段和文件信息
%?K-mean方法聚類(lèi)
clear?all;
%%%%%%%%%%%%%%%%%%%讀取7幅遙感圖像數(shù)據(jù)%%%%%%%%%%%%%%%%%%
for?i=1:7
????I(i::)=imread([‘L‘num2str(i)‘.bmp‘]);
end
I=double(I);
[tMN]=size(I);
%%%%%%%%%%%%%%%%%%%將圖像分為三類(lèi),分別根據(jù)圖像選取初始分類(lèi)中心:三種方法%%%%%%%%%%%%%%%%%%
%等灰度值法確定初始分類(lèi)中心
%?for?i=1:7
%?m(i)=sum(sum(I(i::)))/(256*256);
%?p(i)=sqrt(sum(sum((I(i::)-m(i)).^2))/(256*256-1));
%?end
%?N1=(m-p)‘;
%?N2=(m)‘;
%?N3=(m+p)‘;
%?%讀取相應(yīng)點(diǎn)的坐標(biāo),確定中心
%?for?i=1:7
%?????I(i::)=imread([‘L‘num2str(i)‘.bmp‘]);
%?????figure
%?imshow([‘L‘num2str(i)‘.bmp‘]);
%?[xy]=ginput(3);
%?%?%?第一類(lèi)水域
%?N1(i)=I(ix(1)y(1));
%?%?%第二類(lèi)居民區(qū)
%?N2(i)=I(ix(2)y(2));
%?%?%第三類(lèi)
%?N3(i)=I(ix(3)y(3));
%?close(figure);
%?end
%?N1=N1‘;
%?N2=N2‘;
%?N3=N3‘;
%直接讀取圖像灰度值確定中心
N1=[42.3?63.06?61.7?21.6?15.6?48.1?9.6]‘;
N2=[10
?屬性????????????大小?????日期????時(shí)間???名稱
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?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L7.bmp
?????文件???????2478??2011-01-20?16:04??遙感圖像分析\Kmeans.m
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L1.bmp
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L2.bmp
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L3.bmp
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L4.bmp
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L5.bmp
?????文件??????66616??2007-03-05?08:43??遙感圖像分析\L6.bmp
?????文件??????49664??2011-01-20?16:01??遙感圖像分析\遙感圖像分割.doc
?????目錄??????????0??2011-01-20?16:02??遙感圖像分析
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???????????????518454????????????????????10
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