Differential box counting methods for estimating fractal dimension of gray-scale images: A survey
Fractal dimension is extensively in use as features in computer vision applications to
characterize roughness and self-similarity of objects in an image for many years. These …
characterize roughness and self-similarity of objects in an image for many years. These …
ORSIm detector: A novel object detection framework in optical remote sensing imagery using spatial-frequency channel features
With the rapid development of spaceborne imaging techniques, object detection in optical
remote sensing imagery has drawn much attention in recent decades. While many …
remote sensing imagery has drawn much attention in recent decades. While many …
A comparative review of manifold learning techniques for hyperspectral and polarimetric sar image fusion
In remote sensing, hyperspectral and polarimetric synthetic aperture radar (PolSAR) images
are the two most versatile data sources for a wide range of applications such as land use …
are the two most versatile data sources for a wide range of applications such as land use …
A novel hierarchical approach for multispectral palmprint recognition
Palmprint is one important biometric feature with uniqueness, stability and high
distinguishability, and its study has attracted much attention in the past decades. Although …
distinguishability, and its study has attracted much attention in the past decades. Although …
MIMA: MAPPER-induced manifold alignment for semi-supervised fusion of optical image and polarimetric SAR data
Multi-modal data fusion has recently been shown promise in classification tasks in remote
sensing. Optical data and radar data, two important yet intrinsically different data sources …
sensing. Optical data and radar data, two important yet intrinsically different data sources …
Fabric defect detection based on biological vision modeling
Fabric defect detection plays a key role in the quality control of textiles. Existing fabric defect
detection methods adopt traditional pattern recognition methods; however, these methods …
detection methods adopt traditional pattern recognition methods; however, these methods …
Robust palmprint recognition based on the fast variation Vese–Osher model
Palmprint is usually captured with a touchless device. Due to the changes of angle and
position of the palm in a capturing process, as well as the defocus of device, it is inevitable to …
position of the palm in a capturing process, as well as the defocus of device, it is inevitable to …
An approximated box height for differential-box-counting method to estimate fractal dimensions of gray-scale images
The Fractal Dimension (FD) of an image defines the roughness using a real number which is
highly associated with the human perception of surface roughness. It has been applied …
highly associated with the human perception of surface roughness. It has been applied …
Deep Learning-Based Detection of Human Blastocyst Compartments with Fractal Dimension Estimation
In vitro fertilization (IVF) is an efficacious form of aided reproduction to deal with infertility.
Human embryos are taken from the body, and these are kept in a supervised laboratory …
Human embryos are taken from the body, and these are kept in a supervised laboratory …
SDCAFNet: A deep convolutional neural network for land-cover semantic segmentation with the fusion of PolSAR and optical images
B Chu, J Chen, J Chen, X Pei, W Yang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Due to the different imaging mechanisms between optical and polarimetric synthetic
aperture radar (PolSAR) images, determining how to effectively use such complementary …
aperture radar (PolSAR) images, determining how to effectively use such complementary …