Then, the borders extraction is performed for extracting shadow part of that image. In the removal process all the shadow areas remain some unusual manner. To remove shadows, mean and standard deviation for the shadow and non shadow region of an image are calculated. Then, the mean difference...
Remote sensing imagery is indispensable in diverse domains, including geographic information systems, climate monitoring, agricultural planning, and disaster management. Nonetheless, cloud cover can drastically degrade the utility and quality of these images. Current deep learning-based cloud removal methods ...
Since the undulate topography of the lunar surface leads to the variance of the lunar surface remote sensing image pixels with the sun relative location and geometry orientation,the shadow pixels of the lunar surface remote sensing digital images are produced.In order to solve the problem,the judgm...
Hence, it is important to segment shadow regions and restore their information for image interpretation. This paper presents an efficient and simple approach for shadow detection and removal based on HSV color model in complex urban color remote sensing images for solving problems caused by shadows....
A processing method is designed based on the idea of better maneuverability and low complexity to resist disturbance and to extract vegetation information from infrared remote sensing images. 展开 关键词: computer application image processing shadow removal Retinex clustering infrared remote sensing ...
Object–Oriented Shadow Detection and Removal From Urban High–Resolution Remote Sensing Images This paper mainly focus to get the high resolution color remote sensing image, and also undertaken to remove the shaded region in the both urban and rural area. Some of the existing projects are involved...
Shadow removal based on clustering correction of illumination field for urban aerial remote sensing imagesRemote sensingTVIndexesLighting... L Shuang,H Li,H Shen - IEEE International Conference on Image Processing 被引量: 0发表: 2017年 Automated masking of cloud and cloud shadow for forest change ...
shadow are obtained.Secondly,the remote sensing images are transformed by support vector value contourlet transform.The transforming coefficients are mosaiced using selection matrices produced by the binary images to achieve preliminary removal of cloud and its shadow.Finally,the cloud and its shadow ...
This chapter proposes a new method of high resolution optical remote sensing image shadow extraction algorithm based on Gram-Schmidt orthogonalization addressing the issues of current shadow extraction algorithm's complex modelling and low efficiency in computation, the basic idea of which is that the ...
To detect the intensity inhomogeneous shadows and bright shadows in remote sensing images, this paper proposes a shadow detection method combining level set with the feature of color space. Based on the brightness nonuniformity of shadow regions in remote sensing images, the local classification level...