Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
نویسندگان
چکیده
منابع مشابه
Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
Frame hyperspectral sensors, in contrast to push-broom or line-scanning ones, produce hyperspectral datasets with, in general, better geometry but with unregistered spectral bands. Being acquired at different instances and due to platform motion and movements (UAVs, aircrafts, etc.), every spectral band is displaced and acquired with a different geometry. The automatic and accurate registration...
متن کاملImage Registration with Hyperspectral Data Based on Fourier-Mellin Transform
Hyperspectral imagery is playing more and more important role in many fields such as geology, agriculture, environment, military, atmosphere and so on. We need to register Hyperspectral imagery so that we can build coherent image cubes and get coherent spectrum of pixels. Our concern in this paper is the Fourier-Mellin Transform (FMT) for image registration process and its related techniques fo...
متن کاملFully Automatic Image-based Registration of Unorganized Tls Data
The estimation of the transformation parameters between different point clouds is still a crucial task as it is usually followed by scene reconstruction, object detection or object recognition. Therefore, the estimates should be as accurate as possible. Recent developments show that it is feasible to utilize both the measured range information and the reflectance information sampled as image, a...
متن کاملAutomatic Registration of Terrestrial Scanning Data Based on Registered Imagery
SUMMARY In this paper, an algorithm is presented for automatic registration of terrestrial point clouds based on registered images captured from terrestrial laser scanner. Firstly, the Moravec interest operator is used to extract feature points in the left one of two adjacent images and probabilistic relaxation is employed to match corresponding points for those feature points. The strategy of ...
متن کاملGeometric Registration and Classification of Hyperspectral Airborne Pushbroom Data
Innovative geometric modeling techniques involving stochastic constraints and linear feature exploitation have been demonstrated to yield good results in the rectification of hyperspectral airborne pushbroom imagery. The unique aspects of the platform trajectory are particularly well addressed by these techniques. Supervised statistical pattern recognition techniques have been developed specifi...
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: Remote Sensing
سال: 2014
ISSN: 2072-4292
DOI: 10.3390/rs6043409