紅噪聲 的英文怎麼說

中文拼音 [hóngzàoshēng]
紅噪聲 英文
red noise
  • 紅 : 紅Ⅰ形容詞1 （像鮮血或石榴花的顏色） red 2 （象徵順利、成功或受人重視、歡迎） symbol of success lu...
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  1. As the microbolometer which is voltage biased express some characters different from other infrared detectors under the effect of electric heat and infrared radiation together, the computing method of parameters, such as responsivity, noise, noise equivalent temperature different ( netd ), noise equivalent power ( nep ), optical gain, detectivity and so on is given in this paper. some of these parameters are particular compared with other detectors, and some have difference between microbolometer and other detectors

    由於微測輻射熱計在施加偏置電壓的情況下，電熱效應與紅外輻射的共同作用使它表現出與其他紅外探測器完全不同的一些特徵，文中給出了響應率、噪聲、噪聲等效功率、噪聲等效溫差、光學增益、探測率等參數的計算方法，這些參數中的部分是微測輻射熱計獨有的，或者與其他的紅外探測器的同一參數有所區別。
  2. ( 2 ) based on the review and analysis of typical object detection methods, especially the temporal difference, a moving objects detection algorithm based on three frame difference is proposed. this algorithm employs many new technologies, such as adaptive frame interval, half - pixel global motion estimation and compensation, adaptive change detection and object repair, therefore it is very practical

    2 .在總結常用運動目標檢測方法，並詳細討論時間差分法的基礎上，針對實地拍攝的紅外圖像序列，提出了一種基於三幀差分的運動目標檢測演算法，該演算法採用自適應幀間隔、半象素全局運動估計與補償、自適應變化區域檢測、抗噪聲形態學處理和目標修復等一系列新技術，具有很強的實用性。
  3. Low noise red laser at 671 nm

    低噪聲紅光激光器
  4. Non - uniformity correction approach is one of the key technique in steering focal plane array imaging system

    凝視紅外成像系統中的探測器非均勻性校準（降低固有空間噪聲）技術是一項處在探索過程中的關鍵技術。
  5. The built - in color viewfinder provides bright, crisp images under virtually all conditions. radiometric firewire ieee 1394 output provides the bandwidth for fast downloading of calibrated

    探測器技術生成優異無噪聲圖像輪廓鮮明的高解析度的長波紅外熱圖每幅圖像超過76000個像素。
  6. One is based on the characteristic of small targets. first, one image is filtered by a high pass filter and the image mainly including the small targets and noise are obtained

    第一個方面是從紅外圖像中小目標的特性出發，對圖像進行高通濾波，得到主要包含小目標和噪聲的圖像。
  7. As umbirfpa is a new type of infrared detecting device, its work principle is complex and its performance is affected by many factors. in the initial stage of developing, the design experiment and theoretical understanding are little interiorly. furthermore, the problems such as sensitivity reduced, dynamic range shortened, nonuniformity increased come forth if umbirfpa is not designed properly

    Umbirfpa是一種新型的紅外探測器件，微測輻射熱計的工作原理復雜，其性能受到很多因素的影響，目前國內尚處于發展初期，缺少實際的設計經驗和理論認識，同時umbirfpa又是在集成電路工藝線上生產的，投資大、周期長，如果設計不當，不僅可能導致靈敏< wp = 13 >度降低、動態范圍縮小、噪聲增大、非均勻性增大等問題，更可能的是根本就不能用於成像，從而造成很大損失。
  8. Meanwhile, actual testing signals of pyroelectric irfpa is given. in fifth chapter, irfpa ' s noise and noise processing techniques are analyzed, and a new cmos voltage differential circuit based on current - mode technique is given

    本文第五章對紅外焦平面陣列中的噪聲及噪聲處理技術進行了理論分析，同時提出了一種用電流模技術設計的新cmos電壓差分器方案。
  9. In this dissertation, the radiometric calibration of camera was performed, and researched the influence of non - uniformity of sensors response to calibration, calibration precision was improved by reducing the influence of random noise to calibration by processing the data of calibration by using wiener filtration. the radiometric calibration coefficients are determined by measuring the output data of camera and the temperature of blackbody

    本文對紅外相機進行輻射定標，研究了探測器響應的非均勻性對定標的影響，並通過採用wiener濾波技術對所採集的數據進行濾波處理，減小隨機噪聲對定標的影響，提高了定標的精度，最後通過測量黑體溫度和相機輸出數據完成紅外相機輻射定標。
  10. One of the key techniques is the detection of near infrared ( 1310nm and 1550nm ). because the quantum key is transmitted by one photon, and 1310nm and 1550nm infrared are the lost loss wavelength in fiber. we can detect the visible light now, but it is difficult to detect the near infrared because of its low energy

    量子通信的關鍵技術之一就是紅外（ 1310nm 、 1550nm ）單光子探測，這是因為光量子密鑰傳輸是採用單個光子來實現的， 1 . 3微米和1 . 5微米是現在所使用的光纖通信中損耗最小的波長，現有成熟的單光子探測器工作波長都是在可見光波段，而紅外光子因為能量小，信號非常微弱，極易被噪聲淹沒，因而非常難探測到。
  11. The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background

    自然背景復雜的紋理特徵和紅外圖像中的噪聲影響，以及紅外目標模糊的邊緣，給紅外目標的邊界檢測和分割帶來一定的困難。
  12. The optimal combinations of 5 spectral intervals among 40 intervals that selected by ipls yielded a good result. ipls model could diminish runtime and select the optimal intervals

    結果表明，該方法可以減小建模運算時間，剔除噪聲過大的譜區，使最終建立的農產品品質檢測近紅外光譜模型的預測能力和精度更高。
  13. First and second band - gap filters amplify small signals and shift direct current voltage, which filter interference and noise by frequency. then, comparator restrains noise and interference through 700mv voltage window

    兩級帶通濾波放大器對熱釋電紅外傳感器採集人體的微弱小信號進行交流放大和直流電平的轉換，並根據頻率對噪聲和干擾進行過濾。
  14. Then the research of image enhancement based on of plateau equalization algorithm and genetic algorithm is done then in this chapter. image segmentation with algorithm of 2d - maximal variance between - class and region growing is accepted to eliminate the background and the isolated noise points which can not be the target

    論文在紅外目標檢測方面，以對經過預處理的圖像進行分割為切入點，採用二維類間方差法和局域生長法來進行圖像的分割，消除了原始圖像中一些不可能為目標的孤立噪聲點和大面積的背景區域。
  15. Due to dynamic complex background and defects of infrared image, which are low contrast between object and background, blurred edge of object and high amount of noise, objects detection and tracking is very difficult in this case

    由於動態復雜背景，加上紅外圖像普遍存在目標與背景對比度低、目標邊緣模糊和噪聲大等問題，給目標的檢測與跟蹤帶來很大的挑戰性，目前國內外相關文獻還很少。
  16. Because the noises in ir images changes slowly and its frequency components con - centrate on the range of low frequency. the wgos is used to suppressing background and noises. just for the three origin images in this dissertation, the global threshold in the algorithm is enough to divide up targets from the background

    紅外圖像的噪聲通常為脈沖噪聲，具有高頻特性;而紅外圖像的背景變換比較緩慢，其頻譜成分多集中在低頻區域，所以本文在對圖像特性分析的基礎上，設計改進了基於加權廣義次序統計濾波器的背景抑制的演算法。
  17. ( 2 ) a wavelet edge detection method which is self - adaptive, multi - scale and anti - jamming has been studies for use in formation processing for ir imaging terminal homing guidance

    （ 2 ）研究了一種用於紅外成像制導信息處理的自適應、多尺度、抗噪聲小波邊緣檢測方法。
  18. Firstly, the outputs of the infrared sensors are analog signals, which can be disturbed by noise in optical path and circuit. it has a low precision and stability when using traditional signal processing method, so in this paper a novel spectrum analysis method based on the fft is discussed and some methods are taken to rectify errors from the limitation of the fft

    首先，由於紅外傳感器的光電轉換在光路和電路中都會受到噪聲的影響，針對採用傳統信號處理方法帶來的測量精度低、可靠性差這一問題，本文採用快速傅立葉變換和周期圖法的經典譜分析方法對傳感器信號進行處理，並對產生的誤差進行了分析和校正。
  19. We also propose a method generating ir target images from visible images in the same scene. by pre - generation ir depth texture images using the calculation software of atmosphere radiation propagation and considering the mechanism of the noise disturbance of thermal imager, we successfully realize the real - time generation of dynamic ir scene and its virtual walkthrough

    提出了由可見圖像轉化生成場景目標紅外圖像的方法，採用了大氣輻射傳輸計算軟體和考慮熱像儀噪聲擾動機制的方法來預生成紅外深度衰減紋理圖像的模型，實現了動態紅外場景的實時生成和虛擬漫遊。
  20. Compared with several conventional edge detectors, the proposed algorithm has better noise immunity and performance on edge detection of infrared image with large noise and blurry edge

    對噪聲大、邊緣較模糊的紅外圖像進行了邊緣檢測與比較，實驗表明該演算法抗噪能力強，能得到更精細準確的邊緣。
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