Protocol Design Issues for Object Density Estimation and Counting in Remote Sensing

Autor:	Peter M. Roth, Thomas Schnsbel, Mario Theuermann, Manfred Klopschitz, Roland Perko, Alexander Almer
Rok vydání:	2021
Předmět:	Earth observation Ranking Computer science Remote sensing application Benchmark (computing) Data mining Density estimation Object (computer science) computer.software_genre Design methods computer Protocol (object-oriented programming)
Zdroj:	IGARSS
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8575c266c7d3040e5a3b1d8216790f42 https://doi.org/10.1109/igarss47720.2021.9553934 Zobrazit plný text záznamu