Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing
Roland Perko, Alexander Almér, Mario Theuermann, Manfred Klopschitz, Thomas Schnsbel, Peter M. Roth · 2021
Generic object density estimation and counting plays an important role in various remote sensing applications. Therefore, this work discusses available Earth observation based datasets for both tasks. Critical aspects of the current evaluation protocol are identified and analyzed, which yields novel design issues for an optimal future protocol. Moreover, the parameters for an ideal benchmark dataset are defined which allows appropriate evaluation and ranking of methodologies.