GEE中导入无人机遥感数据提取的光谱特征,指数特征,纹理特征,树高特征,特征融合随机森林分类代码
时间: 2023-10-02 21:05:14 浏览: 55
以下是一个简单的示例代码,用于在GEE中导入无人机遥感数据并提取光谱、指数、纹理和树高特征,并使用特征融合随机森林分类器进行分类。
```javascript
// 导入无人机遥感数据
var img = ee.Image('your/image/path');
// 定义感兴趣区域
var roi = ee.Geometry.Rectangle([xmin, ymin, xmax, ymax]);
// 裁剪图像
var clipped = img.clip(roi);
// 提取光谱特征
var bands = clipped.bandNames();
var statistics = clipped.reduceRegion({
reducer: ee.Reducer.mean().combine(ee.Reducer.stdDev(), '', true),
geometry: roi,
scale: 1,
maxPixels: 1e9
});
var features = ee.List([]);
features = features.add(statistics.values(bands).flatten());
// 提取指数特征
var ndvi = clipped.normalizedDifference(['NIR', 'Red']);
var ndwi = clipped.normalizedDifference(['NIR', 'SWIR']);
var indexFeatures = ee.List([]);
indexFeatures = indexFeatures.add(ndvi);
indexFeatures = indexFeatures.add(ndwi);
// 提取纹理特征
var glcm = clipped.glcmTexture({
size: 3
});
var textureFeatures = ee.List([]);
textureFeatures = textureFeatures.add(glcm.select('contrast').reduceRegion({
reducer: ee.Reducer.mean(),
geometry: roi,
scale: 1,
maxPixels: 1e9
}).get('contrast'));
// 提取树高特征
var srtm = ee.Image('USGS/SRTMGL1_003');
var dem = srtm.select('elevation');
var treeHeight = dem.subtract(clipped.select('Elevation'));
var treeHeightFeatures = ee.List([]);
treeHeightFeatures = treeHeightFeatures.add(treeHeight.reduceRegion({
reducer: ee.Reducer.mean(),
geometry: roi,
scale: 1,
maxPixels: 1e9
}).get('elevation'));
// 合并所有特征
var allFeatures = features.cat(indexFeatures).cat(textureFeatures).cat(treeHeightFeatures);
// 定义分类器训练数据集
var trainingData = ee.FeatureCollection('your/training/data/path');
// 训练特征融合随机森林分类器
var classifier = ee.Classifier.randomForest(10).setOutputMode('REGRESSION').train({
features: trainingData,
classProperty: 'class',
inputProperties: allFeatures
});
// 对无人机遥感数据进行分类
var classified = clipped.classify(classifier);
```