Name
Title | ||
|---|---|---|
Object-Based Shadow Extraction and Correction of High-Resolution Optical Satellite Images |
Abstract | ||
|---|---|---|
Shadows in remote sensing images often cause problems, especially in land-cover classification and change detection. Hence, it is very useful if the radiance of shadow areas is corrected to the same level as that of shadow-free areas. In this study, a radiance measurement was carried out to investigate the spectral characteristics of sunlight. Then a method is proposed for shadow detection and correction of optical imagery. First, building shadow areas are detected using an object-based classification method that employs brightness values and their relationship with the neighboring area. Next, the detected shadow areas are corrected using a linear function to produce a shadow-free image. The shadow pixels with different darkness levels are corrected by using different ratios to obtain a smoothly restored image. The proposed semi-automated method was applied to a QuickBird and a WorldView-2 images of Tokyo, Japan, to demonstrate the effectiveness of the method. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/JSTARS.2012.2189558 | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of |
Keywords | Field | DocType |
brightness,geophysical image processing,image classification,image resolution,optical images,sunlight,terrain mapping,japan,quickbird images,tokyo,worldview-2 images,change detection,high-resolution optical satellite images,land-cover classification,linear function,object-based classification method,object-based shadow extraction,optical imager correction,remote sensing images,semiautomated method,shadow area radiance analysis,shadow detection method,shadow-free image analysis,spectral characteristics,image enhancement,image segmentation,object detection,optical image processing,radiometry,optical imaging,satellites,adaptive optics,histograms | Shadow,Object detection,Computer vision,Change detection,Remote sensing,Image segmentation,Pixel,Artificial intelligence,Contextual image classification,Image resolution,Mathematics,Radiance | Journal |
Volume | Issue | ISSN |
5 | 4 | 1939-1404 |
Citations | PageRank | References |
11 | 0.74 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Liu | 1 | 86 | 19.59 |
| Fumio Yamazaki | 2 | 135 | 21.69 |