python实现航迹模糊关联
时间: 2023-06-29 07:03:35 浏览: 106
航迹模糊关联是一种数据处理技术,用于将多个航迹数据进行匹配,以确定它们是否来自同一个目标。Python是一种流行的编程语言,可以使用它来实现航迹模糊关联算法。
以下是一个简单的航迹模糊关联的Python实现:
```python
import numpy as np
def track_association(track_list, threshold):
"""
航迹模糊关联算法
:param track_list: 航迹列表,每个航迹由多个点组成,每个点由经纬度和时间戳组成
:param threshold: 判断两个航迹是否属于同一目标的阈值,单位为米
:return: 一个字典,包含每个航迹的ID和与之匹配的航迹的ID
"""
# 初始化结果字典
results = {}
for i in range(len(track_list)):
results[i] = -1
# 计算每对航迹之间的距离
distances = np.zeros((len(track_list), len(track_list)))
for i in range(len(track_list)):
for j in range(i+1, len(track_list)):
dist = calculate_distance(track_list[i], track_list[j])
distances[i, j] = dist
distances[j, i] = dist
# 根据阈值判断航迹是否属于同一目标
for i in range(len(track_list)):
for j in range(i+1, len(track_list)):
if distances[i, j] <= threshold:
if results[i] == -1 and results[j] == -1:
results[i] = j
results[j] = i
elif results[i] != -1 and results[j] == -1:
results[j] = results[i]
elif results[i] == -1 and results[j] != -1:
results[i] = results[j]
else:
if results[i] != results[j]:
replace_id = min(results[i], results[j])
replace_with = max(results[i], results[j])
for key in results.keys():
if results[key] == replace_with:
results[key] = replace_id
results[replace_with] = replace_id
return results
def calculate_distance(track1, track2):
"""
计算两个航迹之间的距离,使用欧几里得距离公式
:param track1: 航迹1,由多个点组成
:param track2: 航迹2,由多个点组成
:return: 两个航迹之间的距离,单位为米
"""
p1 = np.array([track1[0][0], track1[0][1]])
p2 = np.array([track2[0][0], track2[0][1]])
return np.linalg.norm(p1-p2)
```
这是一个简单的实现,可以根据实际需求进行修改和优化。