亚热带资源与环境学报
亞熱帶資源與環境學報
아열대자원여배경학보
Journal of Subtropical Resources and Environment
2015年
3期
79-86
,共8页
OLI%新增特征%土地覆盖遥感分类%精度评价
OLI%新增特徵%土地覆蓋遙感分類%精度評價
OLI%신증특정%토지복개요감분류%정도평개
OLI%new characteristics%land-cover remote sensing classification%accuracy assessment
本研究针对OLI影像在辐射分辨率、 近红外波段和全色波段的光谱范围以及波段数量等方面进行的调整, 与ETM+进行比较分析, 探究其对土地覆盖遥感分类的影响. 实验发现:1) 辐射分辨率的提高有利于地类之间的区分, 进而提高分类的总体精度; 2) 近红外波段范围的调整有利于识别水体边界, 对分类总体精度影响不大; 3) 新增的深蓝波段可明显提高水体、 不透水层的分类精度, 进而提高总体分类精度, 卷云波段的加入不利于地类之间的区分,降低分类精度; 4) 全色波段范围的收窄可明显提高林草地、 耕地的分类精度, 裸土的分类精度也有所提高, 有利于区分植被与非植被信息. 研究结果能够推广OLI影像的使用, 并对应用OLI影像进行土地覆盖分类具有借鉴意义.
本研究針對OLI影像在輻射分辨率、 近紅外波段和全色波段的光譜範圍以及波段數量等方麵進行的調整, 與ETM+進行比較分析, 探究其對土地覆蓋遙感分類的影響. 實驗髮現:1) 輻射分辨率的提高有利于地類之間的區分, 進而提高分類的總體精度; 2) 近紅外波段範圍的調整有利于識彆水體邊界, 對分類總體精度影響不大; 3) 新增的深藍波段可明顯提高水體、 不透水層的分類精度, 進而提高總體分類精度, 捲雲波段的加入不利于地類之間的區分,降低分類精度; 4) 全色波段範圍的收窄可明顯提高林草地、 耕地的分類精度, 裸土的分類精度也有所提高, 有利于區分植被與非植被信息. 研究結果能夠推廣OLI影像的使用, 併對應用OLI影像進行土地覆蓋分類具有藉鑒意義.
본연구침대OLI영상재복사분변솔、 근홍외파단화전색파단적광보범위이급파단수량등방면진행적조정, 여ETM+진행비교분석, 탐구기대토지복개요감분류적영향. 실험발현:1) 복사분변솔적제고유리우지류지간적구분, 진이제고분류적총체정도; 2) 근홍외파단범위적조정유리우식별수체변계, 대분류총체정도영향불대; 3) 신증적심람파단가명현제고수체、 불투수층적분류정도, 진이제고총체분류정도, 권운파단적가입불리우지류지간적구분,강저분류정도; 4) 전색파단범위적수착가명현제고림초지、 경지적분류정도, 라토적분류정도야유소제고, 유리우구분식피여비식피신식. 연구결과능구추엄OLI영상적사용, 병대응용OLI영상진행토지복개분류구유차감의의.
OLI sensor has new characteristics in some bands of Landsat 7 ETM+, which may improve radiometric resolution from 8-bit to 16-bit, refine spectral range of NIR band and Pan band, add coastal band and cirrus band. The study aims to analyze new characteristics of OLI data and explore their influ-ences on land cover remote sensing classification. Results show that: (1) improving radiometric resolu-tion can help the differentiation of classes and overall accuracy of the classification;(2) spectral range adjustment of NIR band helps to identify waters boundary but has little influence on overall classification accuracy;(3) coastal band can significantly improve classification accuracy of waters and impervious layers, while the addition of cirrus band is bad for the differentiation of classes; (4) narrowing spectral range of Pan band can improve classification accuracy of grass and crop lands and bare soil obviously, hence helpful in the differentiation of vegetated and non-vegetated information.