.png){kind=icon}
返回
A survey on image-based insect classification
.png){kind=icon}
OA
AI
DOI：10.1016/j.patcog.2016.12.020.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Entomology has had many applications in many biological domains (i.e insect counting as a biodiversity index). To meet a growing biological demand and to compensate a decreasing workforce amount, automated entomology has been around for decades. This challenge has been tackled by computer scientists as well as by biologists themselves. This survey investigates fourty-four studies on this topic and tries to give a global picture on what are the scientific locks and how the problem was addressed. Views are adopted on image capture, feature extraction, classification methods and the tested datasets. A general discussion is finally given on the questions that might still remain unsolved such as: the image capture conditions mandatory to good recognition performance, the definition of the problem and whether computer scientist should consider it as a problem in its own or just as an instance of a wider image recognition problem.
Keyword:
Image-based insect recognition
Classification
Automated entomology
Arthropods
Biology
Recognition
Image
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
7.6
论文数:
1.3W
被引数:
4.5W
机构
暂无机构信息
引用论文
Photoelectrocatalytic Degradation of Organic Pollutants in Aqueous Solution Using a Pt‐TiO2 FilmOAAI
.png){kind=icon}
OAAI分享收藏Improved Particle Size Control for the Dispersion Polymerization of Methyl methacrylate in Supercritical Carbon Dioxide超临界二氧化碳中甲基丙烯酸甲酯分散聚合的改进粒度控制OAAI
OAAI分享收藏Does other comprehensive income matter in credit-oriented systems? Analyzing the Italian context
PREAI
分享收藏An estimation of the natural value of dune habitats using Empidoidea (Diptera)使用Empidoidea (Diptera) 估算沙丘栖息地的自然价值
PREAI
分享收藏
查看更多内容