88 lines
3.6 KiB
Python
88 lines
3.6 KiB
Python
import logging
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from geopy.distance import geodesic
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class GridDivider:
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"""划分九宫格，并将图片分配到对应网格"""
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def __init__(self, overlap=0.1):
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self.overlap = overlap
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self.logger = logging.getLogger('UAV_Preprocess.GridDivider')
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self.logger.info(f"初始化网格划分器，重叠率: {overlap}")
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def divide_grids(self, points_df, grid_size=250):
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"""计算边界框并划分九宫格"""
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self.logger.info("开始划分九宫格")
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min_lat, max_lat = points_df['lat'].min(), points_df['lat'].max()
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min_lon, max_lon = points_df['lon'].min(), points_df['lon'].max()
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# 计算区域的实际距离（米）
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width = geodesic((min_lat, min_lon), (min_lat, max_lon)).meters
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height = geodesic((min_lat, min_lon), (max_lat, min_lon)).meters
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self.logger.info(
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f"区域宽度: {width:.2f}米, 高度: {height:.2f}米"
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)
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# 计算需要划分的网格数量
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num_grids_width = int(width / grid_size) if int(width / grid_size) > 0 else 1
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num_grids_height = int(height / grid_size) if int(height / grid_size) > 0 else 1
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# 计算每个网格对应的经纬度步长
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lat_step = (max_lat - min_lat) / num_grids_height
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lon_step = (max_lon - min_lon) / num_grids_width
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grids = []
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for i in range(num_grids_height):
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for j in range(num_grids_width):
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grid_min_lat = min_lat + i * lat_step - self.overlap * lat_step
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grid_max_lat = min_lat + (i + 1) * lat_step + self.overlap * lat_step
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grid_min_lon = min_lon + j * lon_step - self.overlap * lon_step
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grid_max_lon = min_lon + (j + 1) * lon_step + self.overlap * lon_step
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grids.append((grid_min_lat, grid_max_lat, grid_min_lon, grid_max_lon))
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self.logger.debug(
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f"网格[{i},{j}]: 纬度[{grid_min_lat:.6f}, {grid_max_lat:.6f}], "
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f"经度[{grid_min_lon:.6f}, {grid_max_lon:.6f}]"
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)
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self.logger.info(f"成功划分为 {len(grids)} 个网格 ({num_grids_width}x{num_grids_height})")
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return grids
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def assign_to_grids(self, points_df, grids):
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"""将点分配到对应网格"""
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self.logger.info(f"开始将 {len(points_df)} 个点分配到网格中")
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grid_points = {i: [] for i in range(len(grids))}
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points_assigned = 0
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multiple_grid_points = 0
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for _, point in points_df.iterrows():
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point_assigned = False
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for i, (min_lat, max_lat, min_lon, max_lon) in enumerate(grids):
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if min_lat <= point['lat'] <= max_lat and min_lon <= point['lon'] <= max_lon:
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grid_points[i].append(point.to_dict())
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if point_assigned:
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multiple_grid_points += 1
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else:
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points_assigned += 1
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point_assigned = True
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self.logger.debug(
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f"点 {point['file']} (纬度: {point['lat']:.6f}, 经度: {point['lon']:.6f}) "
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f"被分配到网格"
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)
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# 记录每个网格的点数
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for grid_idx, points in grid_points.items():
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self.logger.info(f"网格 {grid_idx} 包含 {len(points)} 个点")
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self.logger.info(
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f"点分配完成: 总点数 {len(points_df)}, "
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f"成功分配 {points_assigned} 个点, "
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f"{multiple_grid_points} 个点被分配到多个网格"
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)
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return grid_points
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