如何在图像中找到纬度/经度坐标，如果我们有 4 个角的纬度/经度

Question

我有一张图片。我知道所有 4 个角的纬度和经度。我想找到一个特定点的纬度和经度。

在下图中，我知道所有 4 个角的纬度/经度（红点）。我想找到蓝点的纬度/经度。我知道这张图片中蓝点的像素坐标。比方说，它是 200px 左边和 233px 底部（从顶部）。

Answer 1

我得到了答案：这是 Python 代码

def GetLatandLong(top_Left_Lat, top_Left_Long, bottom_Right_Lat, bottom_Right_Long,img_Width,img_Height, target_Top, target_Left):
    diff_Between_Top_Bottom_Lat = bottom_Right_Lat - top_Left_Lat
    percentage_Of_Total_Lat_In_Picture = diff_Between_Top_Bottom_Lat/90*100
    image_Size_Height_Required_To_Cover_Entire_Earth = img_Height/percentage_Of_Total_Lat_In_Picture*100
    top_Left_Percentage_Of_Lat = top_Left_Lat/90*100
    top_Left_Pixel_In_Image = image_Size_Height_Required_To_Cover_Entire_Earth*top_Left_Percentage_Of_Lat/100
    target_Pixel_In_Whole_Earth_Image = top_Left_Pixel_In_Image + target_Top
    percentage_Of_Target_In_Image = target_Pixel_In_Whole_Earth_Image/image_Size_Height_Required_To_Cover_Entire_Earth*100    
    target_Lat = percentage_Of_Target_In_Image*90/100


    diff_Between_Top_Bottom_Long = bottom_Right_Long - top_Left_Long
    percentage_Of_Total_Long_In_Picture = diff_Between_Top_Bottom_Long/180*100
    image_Size_Width_Required_To_Cover_Entire_Earth = img_Width/percentage_Of_Total_Long_In_Picture*100
    top_Left_Percentage_Of_Long = top_Left_Long/180*100
    top_Left_Pixel_In_Image = image_Size_Width_Required_To_Cover_Entire_Earth*top_Left_Percentage_Of_Long/100
    target_Pixel_In_Whole_Earth_Image = top_Left_Pixel_In_Image + target_Left
    percentage_Of_Target_In_Image = target_Pixel_In_Whole_Earth_Image/image_Size_Width_Required_To_Cover_Entire_Earth*100    
    target_Long = percentage_Of_Target_In_Image*180/100






    return target_Lat,target_Long


target_Lat,target_Long = GetLatandLong(52.871983, 8.642317, 52.869069, 8.659905,1200,218, 180, 650)

print(target_Lat,target_Long)

Answer 2

看看geodesy的intermediatePointTo函数。 Here解释。 它在 JavaScript 中，但您可以轻松地将其转换为 Python。