Titlebook: Infrared Small Target Detection; Theory, Methods, and Hu Zhu,Yushan Pan,Guoxia Xu Book 2024 The Editor(s) (if applicable) and The Author(s)

厭氧

書目名稱Infrared Small Target Detection影響因子(影響力)




書目名稱Infrared Small Target Detection影響因子(影響力)學(xué)科排名




書目名稱Infrared Small Target Detection網(wǎng)絡(luò)公開度




書目名稱Infrared Small Target Detection網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Infrared Small Target Detection被引頻次




書目名稱Infrared Small Target Detection被引頻次學(xué)科排名




書目名稱Infrared Small Target Detection年度引用




書目名稱Infrared Small Target Detection年度引用學(xué)科排名




書目名稱Infrared Small Target Detection讀者反饋




書目名稱Infrared Small Target Detection讀者反饋學(xué)科排名

出血

osculate

Laconic

Summary and Outlook of Research on Infrared Small Target Detection,Additionally, we offer insights into the potential future developments and directions within this field. The chapter is structured into two primary parts: the concise summary of the research findings and the outlook for future research in this area.

憂傷

Hu Zhu,Yushan Pan,Guoxia XuA Comprehensive and In-depth Introduction to Infrared Small Object Detection.Provides algorithm Comparison and Selection Guide.Presents practical Application-Oriented Approach

受人支配

Harpoon

感情

https://doi.org/10.1007/978-981-99-9799-2Infrared target detection; Low-rank tensor decomposition; Small object detection; Mathematical morpholo

CHIP

Morphological Transformation for Infrared Small Object Detection,rmation of the target and unable to consider the feature of clutter. (b) Adaptively extracting sufficient local feature information for background suppression is hard for the structural element. In this section, we propose two different algorithms based on morphological transformation.

Arresting

Deep Learning Methods for Infrared Small Object Detection,the important problems that required manual design of features in the past. Deep learning is a framework that includes several important algorithms. In recent years, in the field of infrared small target detection, many scholars have also proposed related models based on deep learning.