国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
1期
35-43
,共9页
王京萌%张爱武%孟宪刚%刘诏
王京萌%張愛武%孟憲剛%劉詔
왕경맹%장애무%맹헌강%류조
图像超分辨率重建%非均匀B样条曲面%参叉像元
圖像超分辨率重建%非均勻B樣條麯麵%參扠像元
도상초분변솔중건%비균균B양조곡면%삼차상원
image super-resolution restoration%non-uniform B-spline curved surface%staggered pixels
遥感图像之间的信息互补可以提高图像分辨率,但插值方法易使图像边界模糊、部分细节信息丢失。针对这一问题,提出一种基于参叉像元与非均匀B样条插值相结合的遥感图像超分辨率重建方法。利用经灰度匹配和亚像元级几何配准的2景低分辨率图像,通过参叉交错像元采样到原图像网格2倍的网格中;对于没有值的坐标处用三次B样条插值,插值时选用非均匀的节点参数化方法,曲面图像网格点由邻域36个已知像元组成;在求解待插值点参数值时引入平行线法和黄金分割法迭代寻找最优值,使插值更准确;最后对插值后的图像进行复原处理,重建可视效果更好的“高”分辨率图像。对实验图像的评价表明,用本文方法重建的图像在清晰度、信息量、信噪比和分辨率等方面均有较大的提高。
遙感圖像之間的信息互補可以提高圖像分辨率,但插值方法易使圖像邊界模糊、部分細節信息丟失。針對這一問題,提齣一種基于參扠像元與非均勻B樣條插值相結閤的遙感圖像超分辨率重建方法。利用經灰度匹配和亞像元級幾何配準的2景低分辨率圖像,通過參扠交錯像元採樣到原圖像網格2倍的網格中;對于沒有值的坐標處用三次B樣條插值,插值時選用非均勻的節點參數化方法,麯麵圖像網格點由鄰域36箇已知像元組成;在求解待插值點參數值時引入平行線法和黃金分割法迭代尋找最優值,使插值更準確;最後對插值後的圖像進行複原處理,重建可視效果更好的“高”分辨率圖像。對實驗圖像的評價錶明,用本文方法重建的圖像在清晰度、信息量、信譟比和分辨率等方麵均有較大的提高。
요감도상지간적신식호보가이제고도상분변솔,단삽치방법역사도상변계모호、부분세절신식주실。침대저일문제,제출일충기우삼차상원여비균균B양조삽치상결합적요감도상초분변솔중건방법。이용경회도필배화아상원급궤하배준적2경저분변솔도상,통과삼차교착상원채양도원도상망격2배적망격중;대우몰유치적좌표처용삼차B양조삽치,삽치시선용비균균적절점삼수화방법,곡면도상망격점유린역36개이지상원조성;재구해대삽치점삼수치시인입평행선법화황금분할법질대심조최우치,사삽치경준학;최후대삽치후적도상진행복원처리,중건가시효과경호적“고”분변솔도상。대실험도상적평개표명,용본문방법중건적도상재청석도、신식량、신조비화분변솔등방면균유교대적제고。
The adoption of information from two images can improve resolution of images;nevertheless, the method based on interpolation is apt to make fussy boundary or cause partial loss of detailed information. To solve this problem, the authors employed an approach to super-resolution reconstruction based on staggered pixels and non-uniform B -spline surface. Two frames of images with low resolution, which were matched and geometrically registered at sub-pixel level,were adopted,and then these two images were staggered and re-sampled to double times of the origin grid;the positions with non -value were interpolated and filled with tri -B -spline surface interpolation,and non-uniform node parametric method was adopted. And the curved surface was composed of 36 known neighborhood pixels. For solving the value of interpolated points,the authors introduced parallel and golden section methods to iterate searching for the optimal value,which made interpolation more accurate;the last but not unimportant, the interpolated images were restored to reconstruct better visualization high resolution images. The assessment of the results demonstrates that this approach can considerably improve definition, quantity of information, signal-to-noise ratio and resolution.