Multi-scale adaptive feature fusion network for semantic segmentation in remote sensing images
Semantic segmentation of high-resolution remote sensing images is highly challenging due
to the presence of a complicated background, irregular target shapes, and similarities in the …
to the presence of a complicated background, irregular target shapes, and similarities in the …
Pixel-wise PolSAR image classification via a novel complex-valued deep fully convolutional network
Y Cao, Y Wu, P Zhang, W Liang, M Li - Remote Sensing, 2019 - mdpi.com
Although complex-valued (CV) neural networks have shown better classification results
compared to their real-valued (RV) counterparts for polarimetric synthetic aperture radar …
compared to their real-valued (RV) counterparts for polarimetric synthetic aperture radar …
Deep convolutional neural network designed for age assessment based on orthopantomography data
In this paper, we proposed an age assessment method evaluated on Malaysian children
aged between 1 and 17. The approach is based on global fuzzy segmentation, local feature …
aged between 1 and 17. The approach is based on global fuzzy segmentation, local feature …
Brain-like navigation scheme based on MEMS-INS and place recognition
Animals have certain cognitive competence about the environment so they can correct their
navigation errors. Inspired by the excellent navigational behavior of animals, this paper …
navigation errors. Inspired by the excellent navigational behavior of animals, this paper …
Roof plane segmentation from airborne LiDAR data using hierarchical clustering and boundary relabeling
The roof plane segmentation is one of the key issues for constructing accurate three-
dimensional building models from airborne light detection and ranging (LiDAR) data …
dimensional building models from airborne light detection and ranging (LiDAR) data …
[HTML][HTML] Deep learning for robotics
RA Mouha - Journal of Data Analysis and Information Processing, 2021 - scirp.org
The application of deep learning to robotics over the past decade has led to a wave of
research into deep artificial neural networks and to a very specific problems and questions …
research into deep artificial neural networks and to a very specific problems and questions …
A novel coarse-to-fine scheme for remote sensing image registration based on SIFT and phase correlation
Automatic image registration has been wildly used in remote sensing applications. However,
the feature-based registration method is sometimes inaccurate and unstable for images with …
the feature-based registration method is sometimes inaccurate and unstable for images with …
Leaf recognition using contour based edge detection and SIFT algorithm
S Lavania, PS Matey - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
The paper presents two advanced methods for comparative study in the field of computer
vision. The first method involves the implementation of the Scalar Invariant Fourier …
vision. The first method involves the implementation of the Scalar Invariant Fourier …
Humanoid localization on robocup field using corner intersection and geometric distance estimation
MN Sudin, S Abdullah, MF Nasudin - IJIMAI, 2019 - dialnet.unirioja.es
In the humanoid competition field, identifying landmarks for localizing robots in a dynamic
environment is of crucial importance. By convention, state-of-the-art humanoid vision …
environment is of crucial importance. By convention, state-of-the-art humanoid vision …
Invariant feature matching for image registration application based on new dissimilarity of spatial features
An invariant feature matching method is proposed as a spatially invariant feature matching
approach. Deformation effects, such as affine and homography, change the local information …
approach. Deformation effects, such as affine and homography, change the local information …