使用Python和OpenCV从卫星图像创建三维地形模型的步骤如下:
import cv2
import numpy as np
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
image = cv2.imread('satellite_image.jpg')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray, (5, 5), 0)
edges = cv2.Canny(blur, 50, 150)
contours, _ = cv2.findContours(edges, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
point_cloud = np.zeros((len(contours), 3))
for i, contour in enumerate(contours):
contour = contour.reshape(-1, 2)
z = np.mean(blur[contour[:, 1], contour[:, 0]])
point_cloud[i] = [contour[0, 0], contour[0, 1], z]
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(point_cloud[:, 0], point_cloud[:, 1], point_cloud[:, 2])
plt.show()
以上步骤仅为创建三维地形模型的基本流程,具体的实现方式和效果还需要根据实际情况进行调整和优化。
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