Paper
21 June 2024 Small target detection from DIKW model perspective
Author Affiliations +
Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316734 (2024) https://doi.org/10.1117/12.3029865
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China
Abstract
Through the revelation and internal logic relationship of the DIKW model, the logic of data, information, knowledge, and wisdom in small target detection research initially built a new point of view, and did some basic tasks for small target detection and research, so as to use it to use it to do some basic tasks for small target detection and research. Small target detection research model under DIKW. The DIKW Information System was introduced into the field of small target testing. First, the DIKW model was analyzed. The framework of data information-information knowledge-intelligent framework was studied, and small target detection methods of one-stage and two-stage stages were studied, such as CNN-based methods, transformer methods and mixed methods. This article analyzes the basic network framework of small target detection, and builds data, information, knowledge and wisdom in small targets detection research.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yujuan Wang, Ling Peng, Riji Yu, Hu Juan, Shankai Yan, and Bin Zhang "Small target detection from DIKW model perspective", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316734 (21 June 2024); https://doi.org/10.1117/12.3029865
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target detection

Small targets

Object detection

Data modeling

Semantics

Remote sensing

Analytical research

Back to Top