我正在研究一个使用热成像的项目。我发现脚本能够从图像中的像素值提取温度数据。我在图像上运行exiftool，并获得以下输出，确认图像是使用FLIR相机和不同的校准值拍摄的。
ExifTool Version Number : 10.80
File Name : DJI_0436.jpg
Directory : /home/saiperi/Documents/u-value_calc/Image
File Size : 714 kB
File Modification Date/Time : 2019:07:15 13:03:24-05:00
File Access Date/Time : 2019:07:19 13:01:07-05:00
File Inode Change Date/Time : 2019:07:15 14:54:58-05:00
File Permissions : rw-r--r--
File Type : JPEG
File Type Extension : jpg
MIME Type : image/jpeg
JFIF Version : 1.01
Exif Byte Order : Little-endian (Intel, II)
Make : DJI
Camera Model Name : FLIR
X Resolution : 1
Y Resolution : 1
Resolution Unit : None
Software : 01.15.00.59
Modify Date : 2019:04:25 11:54:08
F Number : 1.4
Aperture Value : 1.6
Focal Length : 9.0 mm
Sub Sec Time Original : 161
Focal Plane Resolution Unit : mm
GPS Latitude Ref : North
GPS Longitude Ref : West
GPS Altitude Ref : Above Sea Level
GPS Map Datum : WGS-84
Compression : JPEG (old-style)
Thumbnail Offset : 576
Thumbnail Length : 5455
About : DJI Meta Data
Absolute Altitude : 672.399048
Relative Altitude : 5.800000
Gimbal Roll Degree : 0.000000
Gimbal Yaw Degree : 100.599998
Gimbal Pitch Degree : 0.000000
Flight Roll Degree : -1.000000
Flight Yaw Degree : 101.099998
Flight Pitch Degree : 4.500000
Central Temperature : 27
Tlinear Gain : 0
Band Name : LWIR
Central Wavelength : 10000
Wavelength FWHM : 4500
Creator Software : ATAU_RBFO
Raw Thermal Image Width : 640
Raw Thermal Image Height : 512
Raw Thermal Image Type : TIFF
Raw Thermal Image : (Binary data 655564 bytes, use -b option to extract)
Emissivity : 1.00
Object Distance : 20.00 m
Reflected Apparent Temperature : 22.0 C
Atmospheric Temperature : 22.0 C
IR Window Temperature : 22.0 C
IR Window Transmission : 1.00
Relative Humidity : 50.0 %
Planck R1 : 17096.453
Planck B : 1428
Planck F : 1
Atmospheric Trans Alpha 1 : 0.006569
Atmospheric Trans Alpha 2 : 0.012620
Atmospheric Trans Beta 1 : -0.002276
Atmospheric Trans Beta 2 : -0.006670
Atmospheric Trans X : 1.900000
Camera Temperature Range Max : 135.0 C
Camera Temperature Range Min : -25.0 C
Camera Temperature Max Clip : 150.0 C
Camera Temperature Min Clip : -60.0 C
Camera Temperature Max Warn : 135.0 C
Camera Temperature Min Warn : -25.0 C
Camera Temperature Max Saturated: 150.0 C
Camera Temperature Min Saturated: -60.0 C
Camera Model :
Camera Part Number :
Camera Serial Number :
Camera Software :
Lens Model :
Lens Part Number :
Lens Serial Number :
Field Of View : 0.0 deg
Filter Model :
Filter Part Number :
Filter Serial Number :
Planck O : -1123
Planck R2 : 0.062614508
Raw Value Median : 3010
Raw Value Range : 1811
Date/Time Original : 2019:04:25 11:54:08.158+00:00
Focus Step Count : 0
Focus Distance : 0.0 m
Frame Rate : 0
Image Width : 640
Image Height : 512
Encoding Process : Baseline DCT, Huffman coding
Bits Per Sample : 8
Color Components : 3
Y Cb Cr Sub Sampling : YCbCr4:2:0 (2 2)
Aperture : 1.4
Image Size : 640x512
Megapixels : 0.328
Peak Spectral Sensitivity : 10.1 um
Date/Time Original : 2019:04:25 11:54:08.161
Thumbnail Image : (Binary data 5455 bytes, use -b option to extract)
Focal Length : 9.0 mm
我正在使用OpenCV和ORB算法将两个图像拼接在一起。之后，我的目的是通过脚本运行它以提取温度数据。但是似乎在拼接过程之后，格式和与图像关联的所有元数据都被重写了。拼接图像元数据如下：
ExifTool Version Number : 10.80
File Name : 4 images.jpg
Directory : /home/saiperi/Desktop
File Size : 127 kB
File Modification Date/Time : 2019:07:15 16:32:12-05:00
File Access Date/Time : 2019:07:19 14:40:53-05:00
File Inode Change Date/Time : 2019:07:19 14:41:00-05:00
File Permissions : rw-rw-r--
File Type : JPEG
File Type Extension : jpg
MIME Type : image/jpeg
JFIF Version : 1.01
Resolution Unit : None
X Resolution : 1
Y Resolution : 1
Image Width : 3840
Image Height : 512
Encoding Process : Baseline DCT, Huffman coding
Bits Per Sample : 8
Color Components : 3
Y Cb Cr Sub Sampling : YCbCr4:2:0 (2 2)
Image Size : 3840x512
Megapixels : 2.0
我的问题是我是否可以将两个或更多图像拼接在一起（彼此之间花费几秒钟），并保留来自第一个输出的元数据。我正在使用python中的google的基本图像拼接教程，但将SIFT算法替换为ORB。