光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
SPECTROSCOPY AND SPECTRAL ANALYSIS
2010年
5期
1347-1351
,共5页
陈军%周冠华%温珍河%付军
陳軍%週冠華%溫珍河%付軍
진군%주관화%온진하%부군
数据误差%定量遥感%代价函数%太湖
數據誤差%定量遙感%代價函數%太湖
수거오차%정량요감%대개함수%태호
Data error%Quantitative remote sensing%Cost function%Taihu lake
地表参数的遥感反演误差的大小由遥感数据误差和反演模型误差共同构成,数据误差不是简单地"加减"到反演误差中,而是经过反演模型改造后融入到反演误差中.因此,在地表参数定量反演过程中,用回归系数最大或均方根误差最佳代价函数来描述地表参数与遥感反射光谱之间的关系将不太可靠.从理论上指出了最高回归系数或最小均方根误差评价方法失效的根源在于反演模型的形式,以2003年10月27日太湖实测数据为例进行了论证.研究表明,虽然TM2/TM3算法比TM2/TM1算法的回归系数高,但其对数据误差的放大效果是TM2/TM算法的2.28倍,这导致了反演结果的均方根误差比TM2/TM1算法大了7.938 μg·L-1;另外从定量反演结果来看,基于TM2/17M3算法和基于TM2/17M1算法的反演结果完全相反,与以往研究成果对比可知,基于TM2/TM1算法的反演结果更符合实际.因此,数据误差应该作为一个约束条件,加入到代价函数的求解过程中,才能增加反演结果的可靠性.
地錶參數的遙感反縯誤差的大小由遙感數據誤差和反縯模型誤差共同構成,數據誤差不是簡單地"加減"到反縯誤差中,而是經過反縯模型改造後融入到反縯誤差中.因此,在地錶參數定量反縯過程中,用迴歸繫數最大或均方根誤差最佳代價函數來描述地錶參數與遙感反射光譜之間的關繫將不太可靠.從理論上指齣瞭最高迴歸繫數或最小均方根誤差評價方法失效的根源在于反縯模型的形式,以2003年10月27日太湖實測數據為例進行瞭論證.研究錶明,雖然TM2/TM3算法比TM2/TM1算法的迴歸繫數高,但其對數據誤差的放大效果是TM2/TM算法的2.28倍,這導緻瞭反縯結果的均方根誤差比TM2/TM1算法大瞭7.938 μg·L-1;另外從定量反縯結果來看,基于TM2/17M3算法和基于TM2/17M1算法的反縯結果完全相反,與以往研究成果對比可知,基于TM2/TM1算法的反縯結果更符閤實際.因此,數據誤差應該作為一箇約束條件,加入到代價函數的求解過程中,纔能增加反縯結果的可靠性.
지표삼수적요감반연오차적대소유요감수거오차화반연모형오차공동구성,수거오차불시간단지"가감"도반연오차중,이시경과반연모형개조후융입도반연오차중.인차,재지표삼수정량반연과정중,용회귀계수최대혹균방근오차최가대개함수래묘술지표삼수여요감반사광보지간적관계장불태가고.종이론상지출료최고회귀계수혹최소균방근오차평개방법실효적근원재우반연모형적형식,이2003년10월27일태호실측수거위례진행료론증.연구표명,수연TM2/TM3산법비TM2/TM1산법적회귀계수고,단기대수거오차적방대효과시TM2/TM산법적2.28배,저도치료반연결과적균방근오차비TM2/TM1산법대료7.938 μg·L-1;령외종정량반연결과래간,기우TM2/17M3산법화기우TM2/17M1산법적반연결과완전상반,여이왕연구성과대비가지,기우TM2/TM1산법적반연결과경부합실제.인차,수거오차응해작위일개약속조건,가입도대개함수적구해과정중,재능증가반연결과적가고성.
The errors of the territorial parameters retrieved from remote sensing are decided by the data error and the model error.The data error is not simply added to the total errors of retrieval results.It would be reformed by the quantitative inversion model,and then,combined with the model errors and melts into the totals errors.Accordingly,during the quantitative process,taking advantage of the highest correlation coefficient or the least root mean square error as assessment standard for describing the chlorophyll a concentration vs remote sensing parameters is not reasonable.Focusing on the above problem,the study pointed out that the reason why the result of the optimized cost function is contrary with the practical is that different model has different influence on data errors.Combined with the in situ measurements of Taihu Lake,in October,2003,it is known that due to the error magnification phenomena (TM2/TM3 algorithm is 2.28 times more than TM2/TM1 algorithm),although the regression coefficient of TM2/TM3 algorithm is higher than TM2/TM1 algorithm,the quantitative errors of TM2/TM3 algorithm are 7.938 5 μg·L-1 more than TM2/TM1 algorithm.Moreover,the retrieval results show that distribution pattern of the resuits of TM2/TM3 algorithm is completely opposite to the TM2/TM1 algorithm.According to the former research achievements,the results of TM2/TM1 algorithm would be more reasonable.In summary,only when that the factor of data error is added to the optimized cost function is taken as a constrain condition in search for the optimal solution of the quantitative models,would the retrieval results be more reliable.