直接看数据:

导入包:
import rasterio as rio
import lightgbm as lgb
import pandas as pd
import seaborn as sns
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report, accuracy_score, confusion_matrix
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from matplotlib.colors import ListedColormap
from glob import glob
from scipy.io import loadmat
import earthpy.plot as ep
import matplotlib.pyplot as plt
读取数据:
S_sentinel_bands = glob('/home/mw/input/remote1902/data/sund
本文通过PCA分析和K-Means聚类方法,对多波段遥感影像进行深入研究。首先进行PCA降维处理,然后应用K-Means模型进行聚类,并通过混淆矩阵评估聚类效果。文章提供完整的数据和代码,帮助读者理解和实践遥感影像的分类工作。
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