光谱学与光谱分析
光譜學與光譜分析
광보학여광보분석
Spectroscopy and Spectral Analysis
2015年
10期
2841-2845
,共5页
岑奕%张艮中%张立福%鹿旭晖%张飞舟
岑奕%張艮中%張立福%鹿旭暉%張飛舟
잠혁%장간중%장립복%록욱휘%장비주
光谱角%不确定性%光谱差异%高光谱
光譜角%不確定性%光譜差異%高光譜
광보각%불학정성%광보차이%고광보
Spectral angle%Uncertainty%Spectral differences%Hyperspectral
地物光谱不确定往往使同种地物光谱之间存在一定程度的差异,影响了地物的识别精度,对光谱角制图算法的地物识别效果也会产生一定的影响。光谱角制图算法(spectral angle mapper ,SAM )是基于光谱曲线整体相似性的一种算法,在高光谱遥感信息分类中应用广泛,但在计算两条地物光谱曲线的相似性时并没有考虑地物光谱不确定性的影响,因此往往会不能正确识别出目标地物。针对地物光谱的不确定性,研究了光谱角制图算法的适用性,并对光谱角制图算法进行了改进。改进的基本思路为:设置测试光谱与参考光谱各波段的光谱差异量为一相同值,并根据同种地物光谱向量之间夹角最小的原则,利用求导的方法求出光谱差异量,以克服地物光谱不确定性的影响。为了验证改进效果,利用 USGS的五种高岭石标准光谱,在考虑地物光谱不确定性的情况下,分别选择局部波段和全局波段计算高岭石标准光谱之间的光谱角,并对光谱角计算结果和光谱角制图算法的适用性进行了分析。通过USGS标准矿物光谱数据的实验证明:改进的光谱角度制图算法利用光谱差异量可以有效表征同种地物光谱的差异,能够克服地物光谱不确定性的影响并提高地物识别的精度,对地物光谱不确定性具有更好的适用性,并对基本符合光谱差异向量各维值相等的局部波段组合具有更好的效果。
地物光譜不確定往往使同種地物光譜之間存在一定程度的差異,影響瞭地物的識彆精度,對光譜角製圖算法的地物識彆效果也會產生一定的影響。光譜角製圖算法(spectral angle mapper ,SAM )是基于光譜麯線整體相似性的一種算法,在高光譜遙感信息分類中應用廣汎,但在計算兩條地物光譜麯線的相似性時併沒有攷慮地物光譜不確定性的影響,因此往往會不能正確識彆齣目標地物。針對地物光譜的不確定性,研究瞭光譜角製圖算法的適用性,併對光譜角製圖算法進行瞭改進。改進的基本思路為:設置測試光譜與參攷光譜各波段的光譜差異量為一相同值,併根據同種地物光譜嚮量之間夾角最小的原則,利用求導的方法求齣光譜差異量,以剋服地物光譜不確定性的影響。為瞭驗證改進效果,利用 USGS的五種高嶺石標準光譜,在攷慮地物光譜不確定性的情況下,分彆選擇跼部波段和全跼波段計算高嶺石標準光譜之間的光譜角,併對光譜角計算結果和光譜角製圖算法的適用性進行瞭分析。通過USGS標準礦物光譜數據的實驗證明:改進的光譜角度製圖算法利用光譜差異量可以有效錶徵同種地物光譜的差異,能夠剋服地物光譜不確定性的影響併提高地物識彆的精度,對地物光譜不確定性具有更好的適用性,併對基本符閤光譜差異嚮量各維值相等的跼部波段組閤具有更好的效果。
지물광보불학정왕왕사동충지물광보지간존재일정정도적차이,영향료지물적식별정도,대광보각제도산법적지물식별효과야회산생일정적영향。광보각제도산법(spectral angle mapper ,SAM )시기우광보곡선정체상사성적일충산법,재고광보요감신식분류중응용엄범,단재계산량조지물광보곡선적상사성시병몰유고필지물광보불학정성적영향,인차왕왕회불능정학식별출목표지물。침대지물광보적불학정성,연구료광보각제도산법적괄용성,병대광보각제도산법진행료개진。개진적기본사로위:설치측시광보여삼고광보각파단적광보차이량위일상동치,병근거동충지물광보향량지간협각최소적원칙,이용구도적방법구출광보차이량,이극복지물광보불학정성적영향。위료험증개진효과,이용 USGS적오충고령석표준광보,재고필지물광보불학정성적정황하,분별선택국부파단화전국파단계산고령석표준광보지간적광보각,병대광보각계산결과화광보각제도산법적괄용성진행료분석。통과USGS표준광물광보수거적실험증명:개진적광보각도제도산법이용광보차이량가이유효표정동충지물광보적차이,능구극복지물광보불학정성적영향병제고지물식별적정도,대지물광보불학정성구유경호적괄용성,병대기본부합광보차이향량각유치상등적국부파단조합구유경호적효과。
The spectral uncertainty of terrestrial objects causes a certain degree of spectral differences among feature spectra , which affects the accuracy of object recognition and also impacts the object recognition of spectral angle mapper algorithm (SAM) .The spectral angle mapper algorithm is based on the overall similarity of the spectral curves ,which was widely used in the classification of hyperspectral remotely sensed information .The spectral angle mapper algorithm does not take the spectral uncertainty of terrestrial objects into account while calculating the spectral angle between the spectral curves ,and therefore does not tend to correctly identify the target objects .The applicability of the spectral angle mapper algorithm is studied for the spec‐tral uncertainty of terrestrial objects and a modified SAM is proposed in this paper .In order to overcome the influence of the spectral uncertainty ,the basic idea is to set a spectral difference value for the test spectra and the reference spectra and to calcu‐late the spectral difference value based on derivation method according to the principle of minimum angle between the test spectra and the reference spectra .By considering the impact of the spectral uncertainty of terrestrial objects ,this paper uses five kaolin‐ite mineral spectra of USGS to calculate the spectral angle between the five kalinite mineral spectra by using local band combina‐tion and all bands to verify the improved algorithm .The calculation results and the applicability of the spectral angle mapper al‐gorithm were analyzed .The results obtained from the experiments based on USGS mineral spectral data indicate that the modi‐fied SAM is not only helpful in characterizing and overcoming the impact of the spectral uncertainty but it can also improve the accuracy of object recognition to certain extent especially for selecting local band combination and has better applicability for the spectral uncertainty of terrestrial objects .