Automatic Image Mosaic Algorithm for Digital Planetary images - Challenge and Processing

Image mosaic relies on image matching and registration. The good image mosaic depends on good acquiring the best match features between images or Sift-points. Images of solar planets suffer from lack of information with low contrast that may influence on good matching as compared to Earth images. A new algorithm is present in this book for planetary image mosaic which alleviates this challenge. First, a program is build to compensate for some of the geometric distortion (rotation and scale effects). Second, an algorithm is submitting for detecting a match Sift-points between images that depends on the morphological operation. A registration with warpping and blending operations is compute to complete the image mosaic. This procedure is test and execute on images of Earth (Landsat 8 oli images).

Info autore

Mohammed Abdalla Ismail Ahmed est diplômé de l'université de Khartoum.

Dettagli sul prodotto

• Autori: Kamal M. Abood, Loa E George, Loay E George, Loay E. George, Loay E. George, Mohamme Ismail, Mohammed Ismail, Kamal M Abood, Kamal M. Abood
• Editore: LAP Lambert Academic Publishing
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 02.09.2019
• EAN: 9786200117274
• ISBN: 9786200117274
• Pagine: 120
• Dimensioni: 150 mm x 7 mm x 220 mm
• Peso: 177 g
• Categoria: Scienze naturali, medicina, informatica, tecnica > Fisica, astronomia > Altro