The performances of repaired image depend on the local information in the repaired area and the consistency between the repair directions with structural content.Image repair algorithm with texture information perform...The performances of repaired image depend on the local information in the repaired area and the consistency between the repair directions with structural content.Image repair algorithm with texture information performs well in repairing seriously damaged images,but it has bad performances when the images have the abundant structure information.The dual optimization image repair algorithm based on the linear structure and the optimal texture is proposed.The algorithm uses the double-constraint sparse model to reconstruct the missed information in large area in order to improve the clarity of repaired images.After adopting the preference of Criminisi priority,the image repair algorithm of self-similarity characteristics is proposed to improve the fault and fuzzy distortion phenomena in the repaired image.The results show that the proposed algorithm has more clarity in the image texture and structure and better effectiveness,and the peak signal-to-noise ratio of the repaired images by proposed algorithm is superior to that by other algorithms.展开更多
【目的】无人机搭载数码相机具有较高的机动性、灵活性和分辨能力,在快速、准确估算草地AGB等方面优势明显。【方法】探讨无人机搭载的数码相机在不同飞行高度的影像分辨率差对草地AGB估算精度,在新疆昭苏山地草甸设置10、30、50、70和9...【目的】无人机搭载数码相机具有较高的机动性、灵活性和分辨能力,在快速、准确估算草地AGB等方面优势明显。【方法】探讨无人机搭载的数码相机在不同飞行高度的影像分辨率差对草地AGB估算精度,在新疆昭苏山地草甸设置10、30、50、70和90 m 5个飞行高度,探究不同飞行高度下获取的影像在光谱信息、纹理特征等差异下对草地AGB估算精度的影响。【结果】在相同的飞行高度下,采用光谱信息与纹理特征相结合的方法相较于单独使用光谱信息或纹理特征,可以提高AGB估算的精度,分别提高了22.34%、13.25%、11.11%、2.18%和2.35%。仅依赖数码图像的光谱信息来估算草地AGB容易导致饱和现象。然而,与光谱信息相比,草地的纹理特征受环境影响较小,在相同的图像分辨率下,所获得的模型效果更佳,弥补单一指标估算草地AGB的不足。【结论】影像分辨率在0.27~2.45 cm时,纹理特征与草地AGB的相关性弱于植被指数,但均达到显著水平,随着图像清晰度减低,两者之间的关联性差异变得显著;在同种图像分辨率前提下,将光谱信息与纹理特征相结合可以实现最佳的草地AGB估算效果,单一的纹理特征模型次之,单一的光谱模型效果最差;随着图像分辨率的递增,对草地AGB的估算精度受到光谱信息、纹理信息以及光谱与纹理信息的影响呈现上升趋势。展开更多
基金Project(12GJ6055)supported by the Natural Science Foundation of Hunan Province,ChinaProject(2010FJ4107)supported by Hunan Provincial Science and Technology Department,China
文摘The performances of repaired image depend on the local information in the repaired area and the consistency between the repair directions with structural content.Image repair algorithm with texture information performs well in repairing seriously damaged images,but it has bad performances when the images have the abundant structure information.The dual optimization image repair algorithm based on the linear structure and the optimal texture is proposed.The algorithm uses the double-constraint sparse model to reconstruct the missed information in large area in order to improve the clarity of repaired images.After adopting the preference of Criminisi priority,the image repair algorithm of self-similarity characteristics is proposed to improve the fault and fuzzy distortion phenomena in the repaired image.The results show that the proposed algorithm has more clarity in the image texture and structure and better effectiveness,and the peak signal-to-noise ratio of the repaired images by proposed algorithm is superior to that by other algorithms.
文摘【目的】无人机搭载数码相机具有较高的机动性、灵活性和分辨能力,在快速、准确估算草地AGB等方面优势明显。【方法】探讨无人机搭载的数码相机在不同飞行高度的影像分辨率差对草地AGB估算精度,在新疆昭苏山地草甸设置10、30、50、70和90 m 5个飞行高度,探究不同飞行高度下获取的影像在光谱信息、纹理特征等差异下对草地AGB估算精度的影响。【结果】在相同的飞行高度下,采用光谱信息与纹理特征相结合的方法相较于单独使用光谱信息或纹理特征,可以提高AGB估算的精度,分别提高了22.34%、13.25%、11.11%、2.18%和2.35%。仅依赖数码图像的光谱信息来估算草地AGB容易导致饱和现象。然而,与光谱信息相比,草地的纹理特征受环境影响较小,在相同的图像分辨率下,所获得的模型效果更佳,弥补单一指标估算草地AGB的不足。【结论】影像分辨率在0.27~2.45 cm时,纹理特征与草地AGB的相关性弱于植被指数,但均达到显著水平,随着图像清晰度减低,两者之间的关联性差异变得显著;在同种图像分辨率前提下,将光谱信息与纹理特征相结合可以实现最佳的草地AGB估算效果,单一的纹理特征模型次之,单一的光谱模型效果最差;随着图像分辨率的递增,对草地AGB的估算精度受到光谱信息、纹理信息以及光谱与纹理信息的影响呈现上升趋势。
