Computing Statistics from Man-Made Structures on the Earth's Surface for Indexing Satellite Images
نویسندگان
چکیده
منابع مشابه
Computing statistics from a graph representation of road networks in satellite images for indexing and retrieval
Retrieval from remote sensing image archives relies on the extraction of pertinent information from the data about the entity of interest (e.g. land cover type), and on the robustness of this extraction to nuisance variables (e.g. illumination). Most image-based characterizations are not invariant to such variables. However, other semantic entities in the image may be strongly correlated with t...
متن کاملMan-made Surface Structures from Triangulated Point Clouds
Man-made Surface Structures from Triangulated Point Clouds Photogrammetry aims at reconstructing shape and dimensions of objects captured with cameras, 3D laser scanners or other spatial acquisition systems. While many acquisition techniques deliver triangulated point clouds with millions of vertices within seconds, the interpretation is usually left to the user. Especially when reconstructing ...
متن کاملDetection of Man-made Objects in Satellite Images
In this report, the principles of man-made object detection in satellite images is investigated. An overview of terminology and of how the detection problem is usually solved today is given. A three level system to solve the detection problem is proposed. The main branches of this system handle road, and city detection respectively. To achieve data source flexibility, the Logical Sensor notion ...
متن کاملDetection of Man-made Structures in Natural Images
Object detection in images is a very active research topic in many disciplines. Probabilistic methods have been applied to the problem with varying degrees of success. A logistic classifier, Markov random field (MRF), and discriminative Random Field (DRF) were used for the detection of man-made structures in natural images. It was found that the MRF and DRF models were often improvements over t...
متن کاملAn Objective Method for Computing Advective Surface Velocities From Sequential Infrared Satellite Images
Using cross correlations between sequential infrared satellite images, an objective technique is developed to compute advective sea surface velocities. Cross correlations are computed in 32 x 32 pixel search (second image) and 22 x 22 template (first image) windows from gradients of sea surface temperature computed from the satellite images. Velocity vectors, computed from sequential images of ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Simulation Modelling
سال: 2007
ISSN: 1726-4529
DOI: 10.2507/ijsimm06(2)s.02