I am a cs student who's doing a project in satellite image field. My project is: Input: satellite images from MSG European satellite. Those are colored images which come along with text files that physically represent every pixel in the image (i mean that every pixel has a record in the text file which says what is the IR, temp' reflectance & more in that specific pixel) - deriving the clouds from the complete image & building in c++ a very large 2D matrix which represent the image in binary: 1 for cloud existence & 0 otherwise. - correlating between two sequential images & deriving the clouds direction vector. That way i can speculate the clouds general motion (direction). My questions : 1.Can you suggest a better way to preform this actions? 2. I need to correlate between 2 binary matrices via 'cross correlation' method & i really don't know how to implement it in c++ since it's very complexed 3. Based on your experience in this field: Does cross correlation is the best way to compute direction vector for those matrices (which reform every second..)? what about other block matching methods? Can you write down something that helps? I appreciate any help!
Regarding the crossed correlation of two binary matrices
Started by ●May 22, 2006