2006•Optical TechniqueRequires access

Analysis on radiation contrast of IR small target and background

Jianmin Yao

Open publisher page 1 citations

Abstract

Contrast of target and background is the ultimate feature of IR detector detect.the illuminations of the radiation that target and background produce in the detector are calculated,a radiation contrast of IR small target and background is presented,and some factors which affect contrast of target and background are analyzed.

About this research paper

What this paper is about

Contrast of target and background is the ultimate feature of IR detector detect.the illuminations of the radiation that target and background produce in the detector are calculated,a radiation contrast of IR small target and background is presented,and some factors which affect contrast of target and background are analyzed.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Contrast of target and background is the ultimate feature of IR detector detect.the illuminations of the radiation that target and background produce in the detector are calculated,a radiation contrast of IR small target and background is presented,and some factors which affect contrast of target and background are analyzed.

Key concepts: Contrast (vision), Background radiation, Detector, Radiation, Optics, Feature (linguistics), Physics, Particle detector

Related papers

Back to paper searchBrowse research topicsOriginal source
Analysis on radiation contrast of IR small target and background — Research Paper | ScholarLens