wavebands

英

美

n.  (无线电)波段
waveband的复数

柯林斯词典

• (无线电)波段
  Awavebandis a group of radio waves of similar length which are used for particular types of radio communication.

双语例句

• The Infrared Background Radiation at Submillimeter Wavebands
  亚毫米波段的红外背景
• The best wavebands, the classification functions and classification flow diagrams for five kinds of targets are determined.
  进而提出了识别植被、土壤、水、冰雪和云等五类目标的最佳波段和分类函数及分类流程图，得到了很高的分类精度。
• The technical idea of microwave communication systems design using cordwood structure is discussed. The design examples of communication systems in decimetre, centimetre and millimetre wavebands are also introduced.
  本文论述了采用积木式结构设计微波系统的技术思想，并介绍了分米波、厘米波和毫米波通信系统的设计实例。
• Based on the fact that the emissivity function of a continuous-radiation object is usually monotonic in a short-band, a tri-waveband method for temperature measurement is established, namely choosing three irrelevant wavebands to formulate measurement equation.
  针对有限短波段内连续辐射物体的发射率通常具有单调性这个事实，提出波段辐射测量方法，即选择三个非相关波段构造测量方程。
• With the development of the infrared focal array plane, it could respond two wavebands at the same time have come out. It is possible to develop the dual-band infrared imaging guidance.
  随着红外焦平面阵列的发展和可同时响应两个红外波段的焦平面阵列问世，使红外双波段成像制导成为可能。
• High spectral resolution ( Hyperspectral) remote sensing, which is based on spectroscopy, refers to use many narrow electromagnetic wavebands to detect the spectral reflectance of our interesting objects.
  高光谱分辨率遥感（HyperspectralRemoteSensing，简称高光谱遥感）是指利用很多很窄的电磁波波段从感兴趣的物体获取有关光谱数据，其基础是光谱学。
• Compared with multispectral remote sensing, hyperspectral remote sensing has many advantages, such as high spectral resolution, many wavebands, good continuity of wavebands and considerable contents of spectral information.
  与常规遥感相比，高光谱遥感具有光谱分辨率高（波段宽度＜10nm）、波段多（几十至几百个波段）、连续性强、信息量丰富等特点。
• The Design of Cassegrain Optic System for Double Infrared Wavebands
  红外双波段卡塞格林光学系统设计
• So, in the selection of wavebands, a low frequency is necessary.
  因此，在频段选择中，必须选择一个较低的雷达频点以满足动态范围的要求。
• PLS models were established based on the full wavelengths, characteristic wavebands, and characteristic wavelengths to distinguish the infected rice leaves. The results showed that, the model with full wavelengths had the highest identification rate.
  采用PLS建立了全波段、多波段和多波长的水稻稻瘟病病变叶片的鉴别模型，结果显示：采用全波段建模，模型的鉴别率最高，高于采用特征波段和特征波长所建的模型。