共查询到20条相似文献，搜索用时 734 毫秒
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A method for shadow detection and compensation for color aerial images is presented. It is considered that the intensity value of each image pixel is the product of illumination function and ground object reflection, and the shadowed regions on the image are mainly caused by the short of illumination, so the information compensation for the shadowed regions should concentrate on the illumination adjustment of concerned area on the basis of the analysis of whole image. The shadow detection and compensation procedure proposed by this paper consists of four steps. 相似文献
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彩色航空影像上阴影区域信息补偿的方法 总被引：15，自引：1，他引：15
提出了一种彩色航空影像上阴影区域信息补偿的方法。试验结果表明 ,该方法对彩色航空影像上人工地物的阴影区域信息补偿是有效的 相似文献
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以城市区域内高大建筑阴影为研究对象,针对现有的阴影检测算法在复杂地物环境下检测精度和可靠性不高的问题,提出了一种结合颜色空间特征和空间关系的遥感影像阴影检测方法。首先,采用SLIC超像素算法对影像进行分割;然后基于Lab和HSI颜色空间构建初步检测条件,将阴影划分为阴影主体区域和待检测区域;最后,借助Canny边缘检测信息合并待判别区域内的超像素块,并利用阴影区域与造成干扰区域间的空间位置关系构建的检测条件进行判别。实验结果表明,该方法可以有效提高复杂地物环境下遥感影像阴影的检测精度和算法可靠性。 相似文献
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大量城市建筑使得高分影像中含有许多阴影区。这些阴影区在土地利用分类、植被绿度调查等遥感应用中会较大地影响结果精度,降低数据使用效率并增加研究成本。基于同一地物阴影区与临近非阴影区反射率相等这一辐射特征关系,通过建立辐射传输方程,发展了一种新的城市高分遥感影像阴影校正方法 RERB(Reflectance Equality Relationship Based Method)。利用RERB对不同城市(北京和荷兰Enschede)不同高分多光谱影像(Geo Eye-1和Quick Bird)进行阴影校正,并对比分析其与被广泛采用的均值方差变换法MVT(Mean and Variance Transformation)的校正结果,通过定性和定量精度评价发现:(1)RERB能很好地将城市阴影区影像视觉特征(颜色、纹理、色调等)信息恢复到与非阴影区同一水平上;(2)RERB恢复后的阴影区具有丰富的细节信息且在视觉上与临近非阴影区具有良好的一致性;(3)RERB恢复后的城市柏油路面和水泥路面阴影区辐射信息具有较低的误差,可见光-近红外波段的平均误差分别为7%和9%。同时RERB能较好地恢复城市阴影区植被波谱特征信息。 相似文献
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This study addresses the problem of shadows in multi-temporal imagery, which is a key issue with change detection approaches based on image comparison. We apply image-to-image radiometric normalizations including histogram matching (HM), mean-variance (MV) equalization, linear regression based on pseudo-invariant features (PIF-LR), and radiometric control sets (RCS) representing high- and low-reflectance extrema, for the novel purpose of normalizing brightness of transient shadows in high spatial resolution, bi-temporal, aerial frame image sets. Efficient shadow normalization is integral to remote sensing procedures that support disaster response efforts in a near-real-time fashion, including repeat station image (RSI) capture, wireless data transfer, shadow detection (as precursor to shadow normalization), and change detection based on image differencing and visual interpretation. We apply the normalization techniques to imagery of suburban scenes containing shadowed materials of varied spectral reflectance characteristics, whereby intensity (average of red, green, and blue spectral band values) under fully illuminated conditions is known from counterpart reference images (time-1 versus time-2). We evaluate the normalization results using stratified random pixel samples within transient shadows, considering central tendency and variance of differences in intensity relative to the unnormalized images. Overall, MV equalization yielded superior results in our tests, reducing the radiometric effects of shadowing by more than 85 percent. The HM and PIF-LR approaches showed slightly lower performance than MV, while the RCS approach proved unreliable among scenes and among stratified intensity levels. We qualitatively evaluate a shadow normalization based on MV equalization, describing its utility and limitations when applied in change detection. Application of image-to-image radiometric normalization for brightening shadowed areas in multi-temporal imagery in this study proved efficient and effective to support change detection. 相似文献
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一种高分辨率遥感影像阴影去除方法 总被引：7，自引：1，他引：6
基于阴影属性提出了一种全自动彩色影像阴影去除算法.首先将影像变换到HSI空间,依据阴影区域亮度值低和饱和度高的特性,结合小区域去除和数学形态学处理,得到精确的阴影区域.然后,分别对I、H、S分量图上各个独立阴影区域与其邻近的非阴影区域进行匹配补偿,再反变换回RGB空间,完成阴影去除操作.实验结果表明,该方法能在不改变非阴影区域信息的情况下,有效地去除阴影的影响. 相似文献
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基于HSI色彩空间的资源三号影像阴影检测 总被引：1，自引：0，他引：1
由于遥感影像上某些区域的光照辐射不足,不可避免地会产生阴影,阴影意味着图像信息的损失,而遥感影像的阴影检测在地物的识别和影像匹配方面具有重要意义。本文主要介绍的是基于HIS色彩空间的阴影检测方法,在检测过程中,根据阴影高色调低亮度的特性,结合大津法计算比值图像最佳阈值进行遥感影像阴影检测,并且在RGB色彩空间计算G分量的最佳阈值来排除树木植被和一些非阴影区域对阴影检测的影响。同时采用国产高分辨遥感卫星——资源三号的同一地区不同季节和不同太阳高度角的遥感数据进行阴影的对比检测。实验结果表明:本文基于HIS色彩空间的阴影检测方法可以快速有效地检测出影像上的阴影,并且能区分树木、河流等暗色物体。 相似文献
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将影像上普遍存在的阴影视为图像退化的一种特殊形式，以整体变分模型为基础，以影像上阴影区域亮度普遍较暗且较均匀、阴影区域和非阴影区域之间的反差普遍较大的特点为约束，导出了整体变分模型用于影像上阴影检测的基本算法。通过对若干幅实际影像的阴影检测实验表明，本文算法对灰度影像和彩色影像上阴影区域的检测是有效的。 相似文献
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Multi-temporal aerial imagery captured via an approach called repeat station imaging (RSI) facilitates post-hazard assessment of damage to infrastructure. Spectral-radiometric (SR) variations caused by differences in shadowing may inhibit successful change detection based on image differencing. This study evaluates a novel approach to shadow classification based on bi-temporal imagery, which exploits SR change signatures associated with transient shadows. Changes in intensity (brightness from red–green–blue images) and intensity-normalized blue waveband values provide a basis for classifying transient shadows across a range of material types with unique reflectance properties, using thresholds that proved versatile for very different scenes. We derive classification thresholds for persistent shadows based on hue to intensity ratio (H/I) images, by exploiting statistics obtained from transient shadow areas. We assess shadow classification accuracy based on this procedure, and compare it to the more conventional approach of thresholding individual H/I images based on frequency distributions. Our efficient and semi-automated shadow classification procedure shows improved mean accuracy (93.3%) and versatility with different image sets over the conventional approach (84.7%). For proof-of-concept, we demonstrate that overlaying bi-temporal imagery also facilitates normalization of intensity values in transient shadow areas, as part of an integrated procedure to support near-real-time change detection. 相似文献
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介绍了一个建筑物阴影检测的模型。首先利用摄影测量学原理来计算阴影坐标。即用数字表面模型(digitalsurfacemodel,缩写为DSM)和太阳高度和方位来计算建筑物阴影的空间坐标,并由相机模型计算出每个阴影单元对应的扫描行和相机空间坐标。由高度场光线跟踪判断阴影的可见性,对可见阴影计算出它在投影图像上的坐标。然后在这个结果的基础上再对图像进行阴影的细分割。 相似文献
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基于SIFT算法的无人机航空遥感影像匹配 总被引：1，自引：0，他引：1
当无人机低空飞行获取高分辨率遥感影像时,由于不同摄站点拍摄角度不同,使得建筑物等凸出地面的物体在立体像对上成像时产生投影差,导致物体成像几何形状发生畸变并且出现地面高层建筑物之间遮挡现象严重的问题,从而导致匹配困难,成为影响无人机航空遥感影像匹配质量的主要因素。本文采用对旋转、遮挡、缩放、图像局部灰度变化等都具有较强的稳定性的SIFT算法来进行匹配,并取得了很好的效果。 相似文献
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包络线去除的丘陵地区遥感影像阴影信息重建 总被引：1，自引：0，他引：1
中国西南丘陵常态山和喀斯特山交错分布,遥感影像普遍存在山体阴影,分布零散且无规律,基于DEM的地形校正模型(C校正等)虽然算法成熟、易于操作,但在复杂地形区存在误差。引入基于相似像元包络线的阴影校正方法(CR校正),按照阴影提取、包络线去除、相似像元寻找和阴影亮度重建的步骤,采用西南丘陵地区Landsat 8 OLI影像进行验证实验。结果表明:CR校正后,阴影区的视觉特征与邻近非阴影区趋于一致,阴影像元亮度有明显提升;校正后影像主要波段标准差减小,与非阴影区参考光谱的相对均方根误差在2.919%以内,最低仅为0.516%;自动分类精度从43.59%提高到61.57%,CR校正有效提高了有阴影的丘陵地区遥感影像质量。 相似文献
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Shadows commonly exist in high resolution satellite imagery, particularly in urban areas, which is a combined effect of low sun elevation, off-nadir viewing angle, and high-rise buildings. The presence of shadows can negatively affect image processing, including land cover classification, mapping, and object recognition due to the reduction or even total loss of spectral information in shadows. The compensation of spectral information in shadows is thus one of the most important preprocessing steps for the interpretation and exploitation of high resolution satellite imagery in urban areas. In this study, we propose a new approach for global shadow compensation through the utilization of fully constrained linear spectral unmixing. The basic assumption of the proposed method is that the construction of the spectral scatter plot in shadows is analogues to that in non-shadow areas within a two-dimension spectral mixing space. In order to ensure the continuity of land covers, a smooth operator is further used to refine the restored shadow pixels on the edge of non-shadow and shadow areas. The proposed method is validated using the WorldView-2 multispectral imagery collected from downtown Toronto, Ontario, Canada. In comparison with the existing linear-correlation correction method, the proposed method produced the compensated shadows with higher quality. 相似文献
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针对阴影在高分辨率遥感影像的特性,提出了一种色彩空间变换和多尺度分割相结合的阴影检测方法。该方法首先对原始影像进行连续两次HSV变换,并分别提取前后两次变换的亮度分量和色度分量;然后引入面向对象思想,进行多个尺度的影像分割并依次实现每一尺度下的阴影检测;最后将多个尺度的检测结果进行决策级融合获取最终检测结果。利用高分二号和Google Earth影像分别进行实验,实验结果表明,该方法有效结合了粗细尺度优势,阴影检测误检率和漏检率较低,同时对较亮阴影和较暗地物均具备较好的识别效果。 相似文献