Vision systems became safety critical in modern 'advanced Driver Assistance Systems', where software-controlled high-definition cameras and digital signal processors are the core components. Software verificat...
详细信息
The biomedical applications of nanoparticles are growing in recent years. The uses range from diagnostic to therapeutic purposes, and researchers are constantly introducing new ways. Biosensors, miniaturization techni...
详细信息
Monitoring the Land Use/Land Cover (LULC) changes in this present era has become the most demanding task and it is very crucial for planning, proper resource management, regulating the expansion in the fringe areas in...
详细信息
ISBN:
(数字)9783031281839
ISBN:
(纸本)9783031281822;9783031281839
Monitoring the Land Use/Land Cover (LULC) changes in this present era has become the most demanding task and it is very crucial for planning, proper resource management, regulating the expansion in the fringe areas in the existing cities, etc. Now the collection of reliable data has become easier as the hyperspectral images captured by various remote sensing satellites are readily available in different spatial and spectral resolutions. processing this data according to the Region of Interest (ROI) in order to extract meaningful information is challenging. The most crucial part of this process is to identify various land covers very accurately. Only an automatic classification provides a feasible solution, as the manual process is tedious, expensive, and time-consuming. This paper compares two different image classification algorithms in classifying the covers, which can be utilized for land use and land cover changing pattern analysis in the Varanasi district of India. The experiments were carried out with the two most popular classification algorithms, namely: The Maximum Likelihood classifier and the Minimum Distance classifier. The overall accuracy and kappa co-Efficient values computed are 41.67 and 0.12 for the Minimum Distance Classifier and 82.43 and 0.78 for the Maximum Likelihood Classifier. It has been observed that the Maximum Likelihood Classifier outperforms the Minimum Distance Classifier.
With the rapid development of computer technology and the Internet era, machine vision is a new science and technology formed by the cross-integration of various disciplines such as imageprocessing theory, advanced i...
详细信息
For the purpose of reducing the computational load of the Fast Normalized Least Mean Square (FNLMS) algorithm for Acoustic Echo Cancellation (AEC) applications, we propose to incorporate the Partial Update strategy in...
详细信息
image segmentation is an essential component in many different types of computer vision systems. image segmentation is used in order to identify objects and boundaries within pictures. It is important to note that the...
详细信息
Wireless Sensor Networks (WSNs) have nodes with limited energy, limited processing power, and limited memory. In addition, they have low bandwidth and noisy communication channels. Therefore, image compression is very...
详细信息
The condition monitoring of wind turbines is essential in a wide range of industrial fields for operational safety and efficiency. A smart visual system is proposed in this paper to achieve blade speed and tower vibra...
详细信息
This study used Gauss 16 computing software based on the computational methods of density functional theory (DFT) to simulate and compare the Salophen-Cd and Salophen-Hg complexes. The structural parameters, infrared ...
详细信息
The proceedings contain 223 papers. The topics discussed include: a method for waste segregation using convolutional neural networks;ach reference model- a model of architecture to handle advanced cyberattacks;profici...
ISBN:
(纸本)9781665411202
The proceedings contain 223 papers. The topics discussed include: a method for waste segregation using convolutional neural networks;ach reference model- a model of architecture to handle advanced cyberattacks;proficient evaluation of visual cryptography using transposition cipher and bit reversal techniques;video captioning based on image captioning as subsidiary content;an enhanced energy efficient protocol for wireless body area network;self-risk assessment model embedded with conversational user interface for selection of health insurance product;a comparison between different kernels of support vector machine to predict cardiovascular diseases using phonocardiogram signal;traffic prediction for intelligent transportation system using machine learning;investigation of new protocol: cyclic shift in aggressive packet combining scheme to combat the error in same bit location;comparison of performance of machine learning algorithms for cervical cancer classification;blackhole attack detection based on trust calculation mechanism in wireless sensor networks;and symmetry-protected topological phase classification using hybrid quantum convolutional neural network with three quantum filters.
暂无评论