Tools like SExtractor and DAOphot have been the industry standard for source detection and image segmentation. Big-survey projects like LSST and WFIRST and Euclid are investigating ways to move beyond these and in particular to fold in multi-wavelength information. A year ago I would have said LSST was barking up the wrong tree on what they were pursuing. But within the last few months they have made real progress on using the color information and Non-negative Matrix Factorization to separate overlapping objects. I can review what I heard at the last LSST all-hands meeting. If we wait a few months, I might get an update on this from a series of telecons that are just starting.
Tools like SExtractor and DAOphot have been the industry standard for source detection and image segmentation. Big-survey projects like LSST and WFIRST and Euclid are investigating ways to move beyond these and in particular to fold in multi-wavelength information. A year ago I would have said LSST was barking up the wrong tree on what they were pursuing. But within the last few months they have made real progress on using the color information and Non-negative Matrix Factorization to separate overlapping objects. I can review what I heard at the last LSST all-hands meeting. If we wait a few months, I might get an update on this from a series of telecons that are just starting.