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Classification of remote sensed data using Artificial Bee Colony algorithm

J. Jayanth, Shivaprakash Koliwad, T. Ashok Kumar
2015 Egyptian Journal of Remote Sensing and Space Sciences  
Ó 2015 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.  ...  remote sensing data.  ...  V.P Lakshmikanth, Karnataka State Remote Sensing Application Center (KSRSAC), Bangalore, for providing the data products for this study. Thanks also go to Dr.  ... 
doi:10.1016/j.ejrs.2015.03.001 fatcat:gevezikd2ncdnfnacb7uf35c4i

A survey of band selection techniques for hyperspectral image classification

Shrutika Sawant, Manoharan Prabukumar
2020 Journal of Spectral Imaging  
Focusing on the classification task, this article provides an extensive and comprehensive survey on band selection techniques describing the categorisation of methods, methodology used, different searching  ...  Hyperspectral images usually contain hundreds of contiguous spectral bands, which can precisely discriminate the various spectrally similar classes.  ...  Acknowledgement The authors thank the Council of Scientific & Industrial Research (CSIR), New Delhi, India, for the award of CSIR-SRF and the Vellore Institute of Technology (VIT) for providing a VIT seed  ... 
doi:10.1255/jsi.2020.a5 fatcat:cvibjoofbbd6jpu4ij626wigdy

An outlook: machine learning in hyperspectral image classification and dimensionality reduction techniques

Tatireddy Reddy, Jonnadula Harikiran
2022 Journal of Spectral Imaging  
The exact classification of ground features in the images is a significant research issue and is currently receiving greater attention.  ...  When used in remote sensing, satellites and aircraft are employed to collect the images, which are used in agriculture, environmental monitoring, urban planning and defence.  ...  and modified ant colony algorithm to optimise the parameters of SVM.  ... 
doi:10.1255/jsi.2022.a1 fatcat:rue5klkmlfcrzftepc6lzfcbfe

Identification of land cover changes in the coastal area of Dakshina Kannada district, South India during the year 2004–2008

J. Jayanth, T. Ashok Kumar, Shivaprakash Koliwad, Sri Krishnashastry
2016 Egyptian Journal of Remote Sensing and Space Sciences  
Ó 2015 National Authority for Remote Sensing and Space Sciences. Production and hosting by Elsevier B.V.  ...  Classification was carried out using artificial bee colony algorithm and support vector machine (SVM) which gave a better result compared to other traditional classification techniques.  ...  Lakshmikanth, Karnataka state remote sensing application center, Bangalore for providing the data products for the study. Thanks also go to the Dr.  ... 
doi:10.1016/j.ejrs.2015.09.001 fatcat:ylg63bhxujfnvhiupk33zrgel4

A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trends [article]

Ying Bi, Bing Xue, Pablo Mesejo, Stefano Cagnoni, Mengjie Zhang
2022 arXiv   pre-print
image classification, object detection, and others.  ...  To fill this gap, this paper provides a comprehensive survey covering all essential EC approaches to important image analysis tasks including edge detection, image segmentation, image feature analysis,  ...  [10] review typical works on genetic algorithms (GAs), differential evolution (DE), particle swarm optimisation (PSO), and ant colony optimisation (ACO) for CV tasks, including image matching, visual  ... 
arXiv:2209.06399v1 fatcat:3a3v54ndbfgpnff7i7yh5l6wy4

Review on Active and Passive Remote Sensing Techniques for Road Extraction

Jianxin Jia, Haibin Sun, Changhui Jiang, Kirsi Karila, Mika Karjalainen, Eero Ahokas, Ehsan Khoramshahi, Peilun Hu, Chen Chen, Tianru Xue, Tinghuai Wang, Yuwei Chen (+1 others)
2021 Remote Sensing  
In this paper, we provide a comprehensive review on road extraction based on various remote sensing data sources, including high-resolution images, hyperspectral images, synthetic aperture radar images  ...  Part 2 underlines the main road extraction methods based on four data sources. In this section, road extraction methods based on different data sources are described and analysed in detail.  ...  Acknowledgments: The authors would like to thank the contributions of the editor and reviewers. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/rs13214235 fatcat:iv4mot6n6vayhmnelwsz4okiym

Review of image processing approaches for detecting plant diseases

ADITYA SINHA, Rajveer Shekhawat
2019 IET Image Processing  
A novel approach of classifying and categorisation of the existing techniques based on pathogen types is a significant contribution by the authors in this study.  ...  In this study, a summary of prevalent techniques and methodologies used for the detection, quantification and classification of diseases is presented to understand the scope of improvement.  ...  [68] tested the MKSVR algorithm on remote sensing LNC data over the span of four years at different sites in Jiangsu province of China.  ... 
doi:10.1049/iet-ipr.2018.6210 fatcat:26zleacozfgytpg3dv4kc5wucm

Retrieval of Near Duplicate Images using K means and PSO Clustering

G. Kalaiarasi, K. K. Thyagharajan
2016 Indian Journal of Science and Technology  
Then the similarity is calculated between the query image features and the features of images in the set. California ND image dataset is used for testing purpose.  ...  Objectives: The main objective of this paper is to retrieve Near Duplicate images from set of images similar to that of the user's query image.  ...  The Classification accuracy of remote sensing image is improved by using PSO along with SVM Classifier 29 . PSO is also used to improve the controller of Spherical Tank System 30 .  ... 
doi:10.17485/ijst/2016/v9is1/96012 fatcat:fq23sy4vx5exte7qc63lcl5fca

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
A similarity based communication protocol between clusters of individuals from parallel grids is defined. The exchange of genetic material proves to considerably boost the quality of the solution.  ...  The population evolves on a bidimensional grid and is implicitly organized in geographical clusters that present a form of structural similarity between individuals.  ...  Remote Sensing Image Classification in Urban Area 478, Ashfaqur Rahman, Brijesh Verma and David Stockwell, An Hierarchical Approach Towards Road Image Segmentation 612, Keisuke Takizawa, Seiya Takenouchi  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Unmanned Aerial Vehicles (UAVs): Collision Avoidance Systems and Approaches

Jawad N. Yasin, Sherif A.S. Mohamed, Mohammad-Hashem Haghbayan, Jukka Heikkonen, Hannu Tenhunen, Juha Plosila
2020 IEEE Access  
INDEX TERMS Autonomous aerial vehicles, autonomous vehicles, collision avoidance, active and passive sensors, optimisation-based, force-field based, sense and avoid, geometry based. 105140 VOLUME 8, 2020  ...  This also includes a discussion on the use of different types of sensors for collision avoidance in the context of UAVs.  ...  The algorithm then selects the optimal path based on this classification. D.  ... 
doi:10.1109/access.2020.3000064 fatcat:qfhbs33wznchxdpea4ijozyryy

Computational Intelligence in Multimedia Processing: Foundation and Trends [chapter]

Aboul-Ella Hassanien, Ajith Abraham, Janusz Kacprzyk, James F. Peters
2008 Studies in Computational Intelligence  
A review of the current literature on CI based approaches to various problems in multimedia computing such as speech, audio and image processing, video watermarking, content-based multimedia indexing and  ...  In addition, a very brief introduction to near sets and near images which offer a generalization of traditional rough set theory and a new approach to classifying perceptual objects by means of features  ...  Ant colony algorithms are inspired by the behavior of natural ant colonies, in the sense that they solve their problems by multi agent cooperation using indirect communication through modifications in  ... 
doi:10.1007/978-3-540-76827-2_1 fatcat:7jl4ir66vvcl7g436ektwkqwpy

Bat Algorithm (BA) [chapter]

2018 Swarm Intelligence  
feature space.  ...  A system for multi-level image thresholding was proposed in [37] based on the bat algorithm.  ...  ABC algorithm is used to fuse a similarity score based on color and texture features of an image thereby achieving very high classification accuracy and minimum retrieval time.  ... 
doi:10.1201/9781315222455-6 fatcat:724x2apwyrc2ngjsx7satgyrbm

SPIN 2020 Table of Content

2020 2020 7th International Conference on Signal Processing and Integrated Networks (SPIN)  
A Perspective View of Mining Rules with Ant Colony Optimization Technique:Antminer Bhawna Jyoti, Aman Kumar Sharma 804 152.  ...  Feature Fusion based Growth Analysis of Chhattisgarh Rice Plants using Machine Learning Technique Bharati Patel, Aakanksha Sharaff 814 154.  ... 
doi:10.1109/spin48934.2020.9071184 fatcat:2244kv476bdx7h4gw3g42q7ebq

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
The core of new algorithm is aim to improve original path planning of ant colony method by using artificial potential field method, and to complete the allocation of primary data of ant colony algorithm  ...  State-of-the-art remote sensing classification models building upon convolutional neural networks (CNNs) are mostly trained on annotated datasets of clear satellite images.  ...  The numerical example of directed network is conducted to illustrate the effectiveness of our proposed algorithm. 86 REVIEWERS 87 REVIEWERS  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

A Review of Artificial Intelligence, Big Data, and Blockchain Technology Applications in Medicine and Global Health

Supriya M., Vijay Kumar Chattu
2021 Big Data and Cognitive Computing  
ML algorithms can also analyze large amounts of data called Big data through electronic health records for disease prevention and diagnosis.  ...  In the context of a newly published study, the potential benefits of sophisticated data analytics and machine learning are discussed in this review.  ...  Moolchand Sharma et al. (2019) [44] UCI Dataset of Wisconsin Diagnostic Breast Cancer optimisation, artificial bee colony optimization, firefly colony optimization, ant Accuracy algorithm Dinesh Valluru  ... 
doi:10.3390/bdcc5030041 fatcat:x25hkk3fxnbtll7cofmikpys3i
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