import os from PIL import Image import piexif import logging import pandas as pd class GPSExtractor: """从图像文件提取GPS坐标""" def __init__(self, image_dir): self.image_dir = image_dir self.logger = logging.getLogger('UAV_Preprocess.GPSExtractor') @staticmethod def _dms_to_decimal(dms): """将DMS格式转换为十进制度""" return dms[0][0] / dms[0][1] + (dms[1][0] / dms[1][1]) / 60 + (dms[2][0] / dms[2][1]) / 3600 def get_gps(self, image_path): """提取单张图片的GPS坐标""" try: image = Image.open(image_path) exif_data = piexif.load(image.info['exif']) # 提取GPS信息 gps_info = exif_data.get("GPS", {}) lat = lon = None if gps_info: lat = self._dms_to_decimal(gps_info.get(2, [])) lon = self._dms_to_decimal(gps_info.get(4, [])) self.logger.debug( f"成功提取图片GPS坐标: {image_path} - 纬度: {lat}, 经度: {lon}") if not gps_info: self.logger.warning(f"图片无GPS信息: {image_path}") return lat, lon except Exception as e: self.logger.error(f"提取图片信息时发生错误: {image_path} - {str(e)}") return None, None, None def extract_all_gps(self): """提取所有图片的GPS坐标""" self.logger.info(f"开始从目录提取GPS坐标: {self.image_dir}") gps_data = [] total_images = 0 successful_extractions = 0 for image_file in os.listdir(self.image_dir): total_images += 1 image_path = os.path.join(self.image_dir, image_file) lat, lon = self.get_gps(image_path) if lat and lon: # 仍然以GPS信息作为主要判断依据 successful_extractions += 1 gps_data.append({ 'file': image_file, 'lat': lat, 'lon': lon, }) self.logger.info( f"GPS坐标提取完成 - 总图片数: {total_images}, 成功提取: {successful_extractions}, 失败: {total_images - successful_extractions}") return pd.DataFrame(gps_data)