高溫目標輻射特征波段轉換方法研究
發(fā)布時間:2018-04-05 20:24
本文選題:高溫目標 切入點:輻射特征 出處:《中國科學院研究生院(上海技術物理研究所)》2014年碩士論文
【摘要】:目標羽焰會產生極強的紅外輻射,是最為明顯的高溫目標,尾焰在2.7μm和4.3μm波段附近有較強的紅外輻射。同時,地球上的高溫現象也是普遍存在的,如火山噴發(fā)、森林大火等。這些高溫現象的發(fā)生都會向外輻射大量的電磁波,引起熱異常。由于高溫目標具有突發(fā)性、溫度高等特點,無法現場測量,而應用遙感技術可以方便地實現大范圍監(jiān)測,,在各領域被廣泛應用。若要在紅外波段有效探測導彈目標,則需要提供大量紅外圖像進行分析,但是目前以2.7μm和4.3μm為中心波長的波段成像較少。為了解決這一問題,對可能產生干擾的高溫目標進行波段轉換,進行紅外成像的仿真是一種有效的途徑。 本文在深入研究高溫目標遙感成像機理的基礎上,根據高溫目標和周圍環(huán)境的差異特征對高溫目標進行識別與提取,對高溫目標的輻亮度進行仿真,通過統計分析方法建立波段間的關系。從高溫目標遙感特征識別、高溫目標數據仿真、高溫目標波段轉換關系建模等方面詳細闡述高溫目標波段轉換方法,并且針對冰島區(qū)域的火山圖像進行轉換分析。本文的主要研究內容如下: (1)選擇合適的高溫目標識別方法對高溫目標進行識別、提取。目前國內外對高溫目標的識別方法研究較多,但是針對不同環(huán)境、不同目標的識別仍有差異,本研究中結合目標環(huán)境采用合適的識別方法對高溫目標進行識別并提取。 (2)首次提出對不同波段的仿真數據進行建立轉換關系。從遙感成像的機理出發(fā),針對相同的目標,相同的探測器,不同的波段成像差異為受大氣輻射傳輸的影響不同。采用輻射傳輸模型進行不同波段的數據仿真,對數據進行分析,建立波段轉換關系,提出仿真成像的新方法。 (3)對波段轉換模型進行應用并驗證。建立波段轉換方法的目的是通過已知波段圖像轉換得到未知波段的圖像,這對轉換結果的驗證造成了一定的困難。本文選取一已知波段作為目標波段,利用波段轉換方法進行轉換,轉換結果與原圖像值進行對比,以此驗證本文建立的波段轉換方法的可行性。
[Abstract]:The target of plume infrared radiation will produce a strong, high temperature is the most obvious target, the plume has stronger infrared radiation in the vicinity of 2.7 m and 4.3 m wavelength. At the same time, the phenomenon of high temperature of the earth is widespread, such as volcano eruption, forest fires. These high temperature phenomenon happens will radiate electromagnetic wave caused by large amount of heat anomaly. Due to the high temperature target is sudden, high temperature, no field measurement, and the application of remote sensing technology can easily realize large-scale monitoring, is widely used in various fields. To effectively detect the infrared missile target, you need to provide a large amount of infrared image analysis, but the 2.7 m and 4.3 m wavelength band imaging is less. In order to solve this problem, the spectral conversion of the high temperature target may interfere with the simulation of infrared imaging is an effective way.
Based on the study of high temperature target remote sensing imaging mechanism, based on the high temperature target recognition and extraction temperature difference of targets and environment characteristics of high-temperature target radiance simulation, analysis of the relationship between the statistical methods to establish the band. From the high temperature remote sensing target feature recognition, target data simulation on high temperature, high temperature target band switching relationship modeling detail conversion method of high temperature target band, and according to the analysis of Iceland regional image conversion volcano. The main contents of this paper are as follows:
(1) selection of high temperature target recognition method suitable for recognition of high-temperature target extraction. The research on the target recognition method of high temperature at home and abroad, but according to different environment, different target recognition are different, this study combines the target environment with appropriate identification methods for identifying and extracting of high temperature target.
(2) first proposed conversion relationship is established for the simulation data of different bands. Starting from the mechanism of remote sensing imaging, for the same goal, the same detector, imaging differences of different influence on atmospheric radiative transfer simulation. Using different data of different wavelength radiation transmission model, analysis of the data, set up the conversion the relationship between bands, we proposed a new method of imaging simulation.
(3) the band switching model and verify the application. A band conversion method is to obtain images of unknown bands by a known band image conversion, thus it is difficult to verify the conversion results. This paper selects a band known as the target band, conversion wave section conversion method, the conversion results were compared with the the original image in order to verify the feasibility of the conversion value, this method is the band.
【學位授予單位】:中國科學院研究生院(上海技術物理研究所)
【學位級別】:碩士
【學位授予年份】:2014
【分類號】:P237
【參考文獻】
相關期刊論文 前3條
1 范玉珠;張為華;劉杰;;預警衛(wèi)星對導彈主動段的探測功能仿真[J];航天控制;2009年03期
2 劉惠英;楊遼;張思玉;;MODIS數據及其在森林防火中的應用[J];世界林業(yè)研究;2006年04期
3 何全軍;劉誠;;MODIS數據自適應火點檢測的改進算法[J];遙感學報;2008年03期
本文編號:1716321
本文鏈接:http://sikaile.net/kejilunwen/dizhicehuilunwen/1716321.html
最近更新
教材專著