Increasing Spatial Resolution of Remotely Sensed Image using HNN Super-resolution Mapping Combined with a Forward Model
نویسندگان
چکیده
منابع مشابه
Super-resolution Target Mapping from Soft-Classified Remotely Sensed Imagery
A simple, efficient algorithm is presented for super-resolution target mapping from remotely sensed images. Following an initial random allocation of pixel proportions to binary 'hard' sub-pixel classes, the algorithm works in a series of iterations, each of which contains two stages. For each iteration, a distance weighted function of neighbouring pixels is computed for all sub-pixels. Then, o...
متن کاملSuper-Resolution Mapping of Impervious Surfaces from Remotely Sensed Imagery with Points-of-Interest
The accurate mapping of impervious surfaces is of key significance for various urban applications. Usually, traditional methods extract the proportion image of impervious surfaces from remote sensing images; however, the proportion image cannot specify where the impervious surfaces spatially distribute within a pixel. Meanwhile, impervious surfaces often locate urban areas and have a strong cor...
متن کاملA Deep Model for Super-resolution Enhancement from a Single Image
This study presents a method to reconstruct a high-resolution image using a deep convolution neural network. We propose a deep model, entitled Deep Block Super Resolution (DBSR), by fusing the output features of a deep convolutional network and a shallow convolutional network. In this way, our model benefits from high frequency and low frequency features extracted from deep and shallow networks...
متن کاملHigh Spatial Resolution Remotely Sensed Data for Ecosystem Characterization
R sensed data have been employed for the characterization of ecologically important variables from local through global contexts. These data may be used to generate a wide range of estimates that are valuable to ecologists, including information on land cover, vegetation cover, habitat, forest structure, and forest function (Kerr and Ostrovsky 2003), and to track changes in these variables. Rec...
متن کاملSuper-resolution mapping using Hopfield Neural Network with Panchromatic image
Super-resolution mapping or sub-pixel mapping is a set of techniques to produce the hard land cover map at sub-pixel spatial resolution from the land cover proportion images obtained by soft-classification methods. In addition to the information from the land cover proportion images at the original spatial resolution, supplementary information at the higher spatial resolution can be used to pro...
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: Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
سال: 2013
ISSN: 1598-4850
DOI: 10.7848/ksgpc.2013.31.6-2.559