Counting Everything in Remote Sensing – the Need for Benchmarks

Object counting and object density estimation is a basic technology serving many applications. For that reason, a multitude of benchmarks are existing in the computer vision community allowing to evaluate and compare different solutions for object counting. However, in remote sensing, such benchmarks are not available, which hinders fair evaluations between different methods and paradigms. This work should lead to discussions on how to optimally design and set up object counting benchmarks in remote sensing for multiple object categories and also for various satellite data, including multi-resolution, multispectral, and multi-modal data from optical and SAR sensors.