منابع مشابه
Closest Spectral Fit for Removing Clouds and Cloud Shadows
Completely cloud-free remotely sensed images are preferred, but they are not always available. Although the average cloud coverage for the entire planet is about 40 percent, the removal of clouds and cloud shadows is rarely studied. To address this problem, a closest spectral fit method is developed to replace cloud and cloud-shadow pixels with their most similar nonclouded pixel values. The ob...
متن کاملMissing information in Remote Sensing: Wavelet approach to detect and remove clouds and their shadows
In this research the wavelet transform was applied to detect clouds and their shadows and subsequently fill out the missing information in a multitemporal set of Aster images of the north area of Ecuador. Wavelet theory is a powerful mathematical tool recently developed for signal processing. Remote sensing images can be considered as a signal. Furthermore, the wavelet transform is related to t...
متن کاملAutomated Detection and Removal of Clouds and Their Shadows from Landsat TM Images
In this paper, a scheme to remove clouds and their shadows from remotely sensed images of Landsat TM over land has been proposed. The scheme uses the image fusion technique to automatically recognize and remove contamination of clouds and their shadows, and integrate complementary information into the composite image from multitemporal images. The cloud regions can be detected on the basis of t...
متن کاملAutomating woody vegetation change detection at regional scales: the problem of clouds and cloud shadows
This paper presents a semi-automated cloud and cloud shadow masking method, developed for SPOT5 satellite data over New South Wales (NSW), Australia. As clouds are very similar to several surface features in these data, attempts at using traditional image classification techniques have not been effective. The new method uses morphological feature extraction, where marker pixels are identified u...
متن کاملCloud-Sourcing: Using an Online Labor Force to Detect Clouds and Cloud Shadows in Landsat Images
We recruit an online labor force through Amazon.com’s Mechanical Turk platform to identify clouds and cloud shadows in Landsat satellite images. We find that a large group of workers can be mobilized quickly and relatively inexpensively. Our results indicate that workers’ accuracy is insensitive to wage, but deteriorates with the complexity of images and with time-on-task. In most instances, hu...
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ژورنال
عنوان ژورنال: Nature
سال: 1912
ISSN: 0028-0836,1476-4687
DOI: 10.1038/089168a0