Remote sensing image processing technology includes many aspects: data compression, image recovery, information extraction and image enhancement.
Data compression is the use of remote sensing image processing technology to compress the collected image information, which saves space and is convenient for storage and can increase the transmission rate.
Restoring images is to use remote sensing image processing technology to analyze errors and influencing factors in the whole process, and to calibrate itself by geometric or radiometric methods based on needs.
The information extraction function is the core of the remote sensing image processing technology. Multiple means are used to obtain effective information. According to the internal system settings, the information can be identified and analyzed, and various information resources can be integrated for easy transmission and use.
Image enhancement is the use of remote sensing image processing technology to process image information, highlighting the unique attributes of image information, allowing people to have better visual effects, and highlighting key points to understand important information through image enhancement.
In terms of technology, remote sensing image processing technology is mainly optical and digital image processing. In technology application, related methods are used to process analog images and remote sensing digital images, and the expected technology is obtained through system operation.