光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2015年
8期
2083-2086
,共4页
遥感%像元%采样点%光谱值%提取
遙感%像元%採樣點%光譜值%提取
요감%상원%채양점%광보치%제취
Remote sensing%Piyel%Sampling points%Spectrum%Extraction
在建立遥感信息反演模型中,是利用离散的采样点实测数据与相应的影像对应像元的光谱值建立关系,从而实现目标信息反演。准确提取光谱值是建立模型的关键,提取光谱值通常采用的方法是把目标点图层转化为感兴趣区ROI ,然后保存ROI为ASCII。用ENVI软件依据原始坐标提取采样点光谱值,分析提取的坐标和光谱值发现,提取出的部分采样点的坐标和原始坐标不一致,即光谱值非本像元,以致基于此而建立的反演模型不能真实反映目标属性与光谱值的关系,即模型无意义。我们把像元均分为4个区域,总结规律发现只有采样点落在像元左上角区域时,提取的光谱值为本像元光谱值。在上述方法的基础上,深入研究其提取目标点坐标和光谱值的原理,并总结规律。介绍了实现提取采样点在遥感影像上对应像元光谱值的一种新方法,该方法首先是提取采样点所在像元的4个顶点坐标之一,通过对比原始坐标和提取坐标的经纬度差值判断采样点在像元中分布所属区域,采用对称原则进行调整采样点在像元中分布位置,最终使全部采样点均分布在所属像元的左上角区域,最后再次进行光谱值提取,经验证提取的光谱值准确无误。通过OLI ,TM和ETM+影像验证,结果表明该方法能够有效准确提取离散点光谱值,同时原理清晰,操作简单可行,适用性较强,为遥感影像提取离散点光谱值提供了新思路。
在建立遙感信息反縯模型中,是利用離散的採樣點實測數據與相應的影像對應像元的光譜值建立關繫,從而實現目標信息反縯。準確提取光譜值是建立模型的關鍵,提取光譜值通常採用的方法是把目標點圖層轉化為感興趣區ROI ,然後保存ROI為ASCII。用ENVI軟件依據原始坐標提取採樣點光譜值,分析提取的坐標和光譜值髮現,提取齣的部分採樣點的坐標和原始坐標不一緻,即光譜值非本像元,以緻基于此而建立的反縯模型不能真實反映目標屬性與光譜值的關繫,即模型無意義。我們把像元均分為4箇區域,總結規律髮現隻有採樣點落在像元左上角區域時,提取的光譜值為本像元光譜值。在上述方法的基礎上,深入研究其提取目標點坐標和光譜值的原理,併總結規律。介紹瞭實現提取採樣點在遙感影像上對應像元光譜值的一種新方法,該方法首先是提取採樣點所在像元的4箇頂點坐標之一,通過對比原始坐標和提取坐標的經緯度差值判斷採樣點在像元中分佈所屬區域,採用對稱原則進行調整採樣點在像元中分佈位置,最終使全部採樣點均分佈在所屬像元的左上角區域,最後再次進行光譜值提取,經驗證提取的光譜值準確無誤。通過OLI ,TM和ETM+影像驗證,結果錶明該方法能夠有效準確提取離散點光譜值,同時原理清晰,操作簡單可行,適用性較彊,為遙感影像提取離散點光譜值提供瞭新思路。
재건립요감신식반연모형중,시이용리산적채양점실측수거여상응적영상대응상원적광보치건립관계,종이실현목표신식반연。준학제취광보치시건립모형적관건,제취광보치통상채용적방법시파목표점도층전화위감흥취구ROI ,연후보존ROI위ASCII。용ENVI연건의거원시좌표제취채양점광보치,분석제취적좌표화광보치발현,제취출적부분채양점적좌표화원시좌표불일치,즉광보치비본상원,이치기우차이건립적반연모형불능진실반영목표속성여광보치적관계,즉모형무의의。아문파상원균분위4개구역,총결규률발현지유채양점락재상원좌상각구역시,제취적광보치위본상원광보치。재상술방법적기출상,심입연구기제취목표점좌표화광보치적원리,병총결규률。개소료실현제취채양점재요감영상상대응상원광보치적일충신방법,해방법수선시제취채양점소재상원적4개정점좌표지일,통과대비원시좌표화제취좌표적경위도차치판단채양점재상원중분포소속구역,채용대칭원칙진행조정채양점재상원중분포위치,최종사전부채양점균분포재소속상원적좌상각구역,최후재차진행광보치제취,경험증제취적광보치준학무오。통과OLI ,TM화ETM+영상험증,결과표명해방법능구유효준학제취리산점광보치,동시원리청석,조작간단가행,괄용성교강,위요감영상제취리산점광보치제공료신사로。
In the establishment of remote sensing information inversion model ,the actual measured data of discrete sampling points and the corresponding spectrum data to pixels of remote sensing image ,are used to establish the relation ,thus to realize the goal of information retrieval .Accurate extraction of spectrum value is very important to establish the remote sensing inver‐sion mode .Converting target spot layer to ROI (region of interest) and then saving the ROI as ASCII is one of the methods that researchers often used to extract the spectral values .Analyzing the coordinate and spectrum values extracted using original coor‐dinate in ENVI ,we found that the extracted and original coordinate were not inconsistent and part of spectrum values not belong to the pixel containing the sampling point .The inversion model based on the above information cannot really reflect relationship between the target properties and spectral values ;so that the model is meaningless .We equally divided the pixel into four parts and summed up the law .It was found that only when the sampling points distributed in the upper left corner of pixels ,the ex‐tracted values were correct .On the basis of the above methods ,this paper systematically studied the principle of extraction tar‐get coordinate and spectral values ,and summarized the rule .A new method for extracting spectral parameters of the pixel that sampling point located in the environment of ENVI software .Firstly ,pixel sampling point coordinates for any of the four corner points were extracted by the sample points with original coordinate in ENVI .Secondly ,the sampling points were judged in which partition of pixel by comparing the absolute values of difference longitude and latitude of the original and extraction coordi‐nates .Lastly ,all points were adjusted to the upper left corner of pixels by symmetry principle and spectrum values were extrac‐ted by the same way in the first step .The results indicated that the extracted spectrum values of all points were accurate .Exper‐iment on OLI (Operational Land Imager) ,TM and ETM+ images showed that this method can accurately extract the discrete spectrum value ,and as well ,clear principle ,simple and feasible operation ,strong applicability ,This paper provides a new idea for remote sensing image extraction of discrete point spectrum .