False Discovery Rate A pproach to Unsupervised Image Change Detection
We address the problem of unsupervised change detection on two or more coregistered images of the same object or scene at several time instants. We propose a novel empirical-Bayesian approach that is based on a false discovery rate formulation for statistical inference on local patchbased samples. This alternative error metric allows to efficiently adjust the family-wise error rate in case of the considered largescale testing problem. The designed change detector operates in an unsupervised manner under the assumption of the limited amount of changes in the analyzed imagery.
Premium Development Service
|Voice Conference||Video On Demand||Code Customization|
|24/7 Support||Remote Connectivity||Document Customization|
|Ticketing System||Project on Demand||Zoom/Google Meet Explanation|
|Live Chat Support||Single Point of Contact(SPOC)||Whatsapp Support|
Discover our highlights here! Our highlights provide accurate data to evaluate our standard. We provide an overview of our services which exhibits the following qualities. When it comes to quality, we at ClickMyProject believe in helping our clients to gives you the best-in-class services.