Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shuang Wang"'
Publikováno v:
IGARSS
Accurate and anti-noise detection of salient regions is a hotspot of remote sensing image analysis. In this paper, we introduce a new salient region detection model for residential areas in high-spatial-resolution remote sensing images, which is call
Publikováno v:
IGARSS
Deep Belief Network (DBN) is a classic deep learning model, and it can learn higher feature and do better classification job. We combine DBN's basic component Restricted Boltzmann Machines (RBM) with the statistic distribution of Polarimetric SAR (Po
Publikováno v:
IGARSS
In this paper, we propose an improved road detection method from high-resolution remote sensing images by means of a modified path opening and closing algorithm. To detect high curvature roads, we improved previously used adjacency graphs by enlargin
Publikováno v:
IGARSS
Recently a few works of semi-supervised learning methods based on graph have been proposed for remote sensing. The common idea of these methods are that they build a graph using the samples of the image. Most of their time complexity is relatively la
Publikováno v:
IGARSS
A novel polarimetric synthetic aperture radar (PolSAR) image classification method based on Deep Belief Networks (DBNs) is proposed in this paper. First, the coherency matrix data are converted to a 9-dimentional data. Second, many patches are random