CAJ | 학술논문

以长白山汪清林区为例，分析了星载激光雷达（ ICESat-GLAS）数据在森林类型识别上的应用效果。采用软件Matlab和IDL对原始二进制数据进行处理，得到GLAS回波波形图；进一步提取与森林类型相关的波形特征参数，作为支持向量分类机（ C-SVC）的输入量，进行森林类型识别，并采用K-折交叉验证方法对核函数选择进行评价。结果表明：C-SVC分类方法能够识别阔叶林和针叶林2种森林类型，识别精度达到85．24％。
이장백산왕청림구위례，분석료성재격광뢰체（ ICESat-GLAS）수거재삼림류형식별상적응용효과。채용연건Matlab화IDL대원시이진제수거진행처리，득도GLAS회파파형도；진일보제취여삼림류형상관적파형특정삼수，작위지지향량분류궤（ C-SVC）적수입량，진행삼림류형식별，병채용K-절교차험증방법대핵함수선택진행평개。결과표명：C-SVC분류방법능구식별활협림화침협림2충삼림류형，식별정도체도85．24％。
InWangqing area of Changbai Mountains, the investigation was conducted to analyze the capability of the ICESat-GLAS (Ice, Cloud and Land Elevation Satellite-Geoscience Laser Altimeter System) data on the forest type identification. The original binary ICESat-GLAS data was processed to obtain waveforms by MATLAB and IDL.The GLAS waveform met-rics were derived as the input dataset of C-Support Vector Classification method (C-SVC) for forest type identification, and the kernel function selection was evaluated using K-fold cross-validation method.The C-SVC method is capable to classify broadleaf and coniferous forests with the accuracy of 85 .24%.