Call Us On : +91 9873543020    [email protected]

R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method

R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method R-VCANet: A New Deep-Learning-Based Hyperspectral Image Classification Method Abstract: Deep-learning-based methods have displayed promising performance for hyperspectral image (HSI) classification, due to their capacity of extracting deep features from HSI. However, these methods usually require a large number of training samples. It is quite difficult for deep-learning model to provide representative feature expression for HSI data when the number of samples are limited. In this paper, a novel simplified deep-learning model, rolling guidance filter (RGF)…

Continue Reading

Sparse Spatio-Spectral LapSVM With Semisupervised Kernel Propagation for Hyperspectral Image Classification

Sparse Spatio-Spectral LapSVM With Semisupervised Kernel Propagation for Hyperspectral Image Classification Sparse Spatio-Spectral LapSVM With Semisupervised Kernel Propagation for Hyperspectral Image Classification Abstract: The information contained in the hyperspectral data allows the characterization, identification, and classification of the land covers with improved accuracy and robustness. Many methods have been explored in the hyperspectral image classification (HIC). Among these methods, spatio-spectral Laplacian support vector machine (SS-LapSVM) combines the spatial and spectral information on both the labeled and unlabeled samples together through the weight sum…

Continue Reading

Words Matter: Scene Text for Image Classification and Retrieval

Words Matter: Scene Text for Image Classification and Retrieval Words Matter: Scene Text for Image Classification and Retrieval Abstract: Text in natural images typically adds meaning to an object or scene. In particular, text specifies which business places serve drinks (e.g., cafe, teahouse) or food (e.g., restaurant, pizzeria), and what kind of service is provided (e.g., massage, repair). The mere presence of text, its words, and meaning are closely related to the semantics of the object or scene. This paper exploits textual contents…

Continue Reading

Semisupervised Hyperspectral Image Classification Using Small Sample Sizes

Semisupervised Hyperspectral Image Classification Using Small Sample Sizes Semisupervised Hyperspectral Image Classification Using Small Sample Sizes Abstract: Hyperspectral image classification is a challenging task when only a small number of labeled samples are available due to the difficult, expensive, and time-consuming ground campaigns required to collect the ground-truth information. It is also known that the classification performance is highly dependent on the size of the labeled data. In this letter, a semisupervised learning-based hyperspectral image classification framework is proposed as a solution to…

Continue Reading

Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm

Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm Feature weighting for cancer tumor detection in mammography images using gravitational search algorithm Abstract: Optimization methods have been widely used in image processing and computer vision. In this paper, k-nearest neighbor (KNN) and real-valued gravitational search algorithm (RGSA) are used to detect the breast cancer tumors in mammography images. GSA is used as a tool for optimization of the features weighting (FW) and tuning the classifier. FW-KNN based on GSA…

Continue Reading

Enhanced hand part classification from a single depth image using random decision forests

Enhanced hand part classification from a single depth image using random decision forests Enhanced hand part classification from a single depth image using random decision forests Abstract: Hand pose recognition has received increasing attention in an area of human-computer interaction. With the recent spread of many low-cost three-dimensional (3D) cameras, research into understanding more natural gestures has increased. In this study, the authors present a method for hand part classification and joint estimation from a single depth image. They apply random decision forests…

Continue Reading

Unsupervised Polarimetric SAR Image Classification Using G0p Mixture Model

Unsupervised Polarimetric SAR Image Classification Using G0p Mixture Model Unsupervised Polarimetric SAR Image Classification Using G0p Mixture Model Abstract: This letter proposes a polarimetric synthetic aperture radar image classification method based on the expectation–maximization algorithm. It is an unsupervised algorithm that determines the number of classes in the scene following a top–down strategy using a covariance-based hypothesis test. A G0p mixture model is used to describe multilook complex polarimetric data, and the proposed algorithm is tested in simulated and real data sets obtaining good results. The…

Continue Reading

Semisupervised Hyperspectral Image Classification Using Small Sample Sizes

Semisupervised Hyperspectral Image Classification Using Small Sample Sizes Semisupervised Hyperspectral Image Classification Using Small Sample Sizes Abstract: Hyperspectral image classification is a challenging task when only a small number of labeled samples are available due to the difficult, expensive, and time-consuming ground campaigns required to collect the ground-truth information. It is also known that the classification performance is highly dependent on the size of the labeled data. In this letter, a semisupervised learning-based hyperspectral image classification framework is proposed as a solution to…

Continue Reading

Image processing project using matlab with source code

Image processing project using matlab with source code Image processing project using matlab with source code.We are India’s renowned academic research based organization situated in Delhi. We offer high quality academic research to MTech and Ph.D. scholars. Till now our organization successfully assisted more than 1000 MTech and Ph.D. Scholars. Domains in which we provide research assistance are Biological computation or computational biology, Biotechnology, Virology, Disease analysis, Data analysis, DNA & RNA analysis, Wireless communications, Networking, Power systems, Power electronics, Power market analysis,…

Continue Reading
Close Menu