Open AccessResearch on the application of clustering and classification in battlefield damage identification
Author(s) -
Mingchang Song,
Quan Shi,
Shizhuang Yin,
Lei Li
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1043/5/052027
Subject(s) - battlefield , identification (biology) , scope (computer science) , cluster analysis , computer science , data mining , artificial intelligence , history , ancient history , botany , biology , programming language
This paper explores the solutions to the problem of battlefield damage pattern recognition. The main research results of the two components of clustering and classification are discussed respectively, and the main characteristics and existing problems of the existing methods are analyzed. The advantages, disadvantages and application scope of different methods are described in detail, which provides a basic theoretical guidance for the study of battlefield damage identification.