Resource- and content-aware, scalable stitching framework for remote sensing images

Küçük Resim Yok

Tarih

2019

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Springer Verlag

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

This paper proposes a new approach to solving the scalability problem in stitching and registration of satellite images. The image stitching process is mostly utilized to capture an image of an entire object, whose parts fall in separate but overlapping mosaics. Due to their high resolutions and huge sizes, the stitching of satellite mosaic images is time- and resource-consuming process. The work presented in this paper proposes a resource- and content-aware, scalable stitching technique. The main idea is based on measuring and assessing the available hardware resources of the machine, on which stitching process runs, and scaling the resolution of the images accordingly. Moreover, preprocessing is not needed, and the adjustment is performed dynamically at run time. The effectiveness of the proposed technique was assessed by partially registering overlapping satellite mosaic images of the island of Cyprus and Lake Van. The scalability tests are performed on varying numbers and sizes of the overlapping LandSat-8 satellite images. © 2019, Saudi Society for Geosciences.

Açıklama

Anahtar Kelimeler

Image registration, Image stitching, LandSat-8, Object extraction, Polygon, Resolution scaling, Image registration, Image stitching, LandSat-8, Object extraction, Polygon, Resolution scaling

Kaynak

Arabian Journal of Geosciences

WoS Q Değeri

Q4

Scopus Q Değeri

N/A

Cilt

12

Sayı

6

Künye