High resolution image processing for remote sensing application
| Autor: | Farhan Hassan, Muhammad Awais Saleem, Maria Saher, Amna Mazhar, Muhammad Rizwan Anjum |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Point (typography)
Computer science Image quality business.industry Remote sensing application 0211 other engineering and technologies 02 engineering and technology Visualization Identification (information) Remote sensing (archaeology) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Spatial analysis Image resolution 021101 geological & geomatics engineering |
| Zdroj: | 2016 Sixth International Conference on Innovative Computing Technology (INTECH). |
| DOI: | 10.1109/intech.2016.7845047 |
| Popis: | With the progress of remote sensing techniques, satellite pictures with the attributes of multi-scale, and multi-date make it have a tendency to be enormous information. So, to detect and improve the ways of raising the extraction velocity, accuracy and programmed level of striking items from highresolution remote detecting image get to be earnest issues. The trouble and impediment of little target location techniques for high-resolution remote resolution information have been a late research problem area. According to current situation, it has much reasonable hugeness to quickly identify focuses in high determination remote detecting pictures, particularly inside constrained calculation assets. The main point of this study is to explore the conceivable outcomes of incorporating worldly data from Resolution Imaging and spatial data from high determination satellite pictures. With the innovation of image upgrade, the paper enhanced the image quality first. This paper displays a model (attention model) to enhance the image quality. This model enhances the picture nature of satellite pictures taken by NASA by Clarify the obscured, uproarious pictures and concentrates the diverse parts of picture by utilizing the shading power. The pictures of the endured Natural catastrophes, for example, out of wildfires, earthquakes, and area are gained by Quick Bird satellite. The point of this study is to discover the area of the changed districts and to indicate the power of the groups. Instantly after the disasters, a great deal of salvage change by utilizing different change identification calculations, which are and modifying exertion happens. |
| Databáze: | OpenAIRE |
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