Feb 12, 2018 · A multiscale detection algorithm utilizing the relative local contrast measure (RLCM) is proposed. It has a simple structure.
Effective detection of small infrared (IR) targets buried in complex backgrounds and heavy noise plays an important role in IR search and track (IRST) systems.
The proposed algorithm can not only robustly detect infrared dim and small targets of different sizes in various complex backgrounds, but also has higher ...
In this letter, an IR small dim target detection algorithm utilizing the multiscale relative local contrast measure (RLCM) is proposed. It can deal with ...
We propose a novel multiscale local contrast learning network (MLCL-Net), which is an end-to-end fully convolutional infrared small target detection network.
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In this paper, a new IR small-target detection algorithm is proposed using multiscale relative average gray difference measures. The method considered detection ...
An effective small IR target detection algorithm based on a novel local contrast measure (NLCM) that has better detection performance compared with ...
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Zhang and Q. Zhao, "A Local Contrast Method for Infrared Small-Target Detection Utilizing a Tri-Layer Window," in IEEE Geoscience and Remote Sensing Letters, ...
Infrared small target detection is one of the most important parts of infrared search and tracking (IRST) system. Generally, the small and dim target is of ...
This paper proposes a novel filtering method based on local saliency and multi-scale analysis. Initially, we designed a new local saliency computation method.