Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Miss detection vs. false alarm: Adversarial learning for small object segmentation in infrared images
A key challenge of infrared small object segmentation (ISOS) is to balance miss detection
(MD) and false alarm (FA). This usually needs" opposite" strategies to suppress the two …
(MD) and false alarm (FA). This usually needs" opposite" strategies to suppress the two …
Infrared small target detection utilizing the multiscale relative local contrast measure
J Han, K Liang, B Zhou, X Zhu, J Zhao… - IEEE geoscience and …, 2018 - ieeexplore.ieee.org
Infrared (IR) small target detection with high detection rate, low false alarm rate, and high
detection speed has a significant value, but it is usually very difficult since the small targets …
detection speed has a significant value, but it is usually very difficult since the small targets …
Multiscale patch-based contrast measure for small infrared target detection
Infrared (IR) small target detection plays an important role in IR guidance systems. In this
paper, a biologically inspired method called multiscale patch-based contrast measure …
paper, a biologically inspired method called multiscale patch-based contrast measure …
High-boost-based multiscale local contrast measure for infrared small target detection
Y Shi, Y Wei, H Yao, D Pan… - IEEE Geoscience and …, 2017 - ieeexplore.ieee.org
Robust and efficient infrared (IR) small target detection plays an important role in image
processing for IR remote sensing. In order to detect the IR small target with high detection …
processing for IR remote sensing. In order to detect the IR small target with high detection …
Fast and robust small infrared target detection using absolute directional mean difference algorithm
Infrared small target detection in an infrared search and track (IRST) system is a challenging
task. This situation becomes more complicated when high gray-intensity structural …
task. This situation becomes more complicated when high gray-intensity structural …
A double-neighborhood gradient method for infrared small target detection
L Wu, Y Ma, F Fan, M Wu… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
Effective and efficient infrared (IR) small target detection is essential for IR search and
tracking (IRST) systems. The current methods have some limitations in background …
tracking (IRST) systems. The current methods have some limitations in background …
An infrared small target detecting algorithm based on human visual system
Infrared (IR) small target detection with high detection rate, low false alarm rate, and
multiscale detection ability is a challenging task since raw IR images usually have low …
multiscale detection ability is a challenging task since raw IR images usually have low …
Infrared moving point target detection based on spatial–temporal local contrast filter
Infrared moving point target detection is a challenging task. In this paper, we define a novel
spatial local contrast (SLC) and a novel temporal local contrast (TLC) to enhance the target's …
spatial local contrast (SLC) and a novel temporal local contrast (TLC) to enhance the target's …
Robust infrared small target detection using a novel four-leaf model
D Zhou, X Wang - IEEE Journal of Selected Topics in Applied …, 2023 - ieeexplore.ieee.org
Infrared small target detection is widely used in the military field, and robust infrared small
target detection has significant significance. Inspired by plants, an infrared small target …
target detection has significant significance. Inspired by plants, an infrared small target …
Infrared dim and small target detection based on denoising autoencoder network
M Shi, H Wang - Mobile networks and applications, 2020 - Springer
The method of infrared small target detection is a crucial technology for infrared early-
warning tasks, infrared imaging guidance, and large field of view target monitoring, and it is …
warning tasks, infrared imaging guidance, and large field of view target monitoring, and it is …