EARTH OBSERVATION AND SATELLITE IMAGERY USING SPIDER MONKEY OPTIMIZATION (SMO)
Main Article Content
Abstract
Remote Sensing Image classification is one of the major research areas due to its wide spectrum of applications including natural terrain feature classification, land use monitoring, ground water exploration, environmental disaster assessment and urban planning etc.Various Swarm Intelligence Techniques, nature inspired and some other intelligent techniques have been used in the field of remote sensing image classification. The various Artificial Intelligent techniques used in the area are Genetic Algorithm, Particle Swarm Optimization (PSO), Artificial Bee Colony optimization (ABC), Ant Colony Optimization (ACO), Cuckoo Search (CS) and also hybrid techniques of these for image classification& they also provide accuracy. An extensive research has been done in this field to classify various features of the image. Throughout feature extractions efforts can be made in direction of identifying all these features and classify the remote image areas consisting of, to get more efficiency than existing methods by means of spider monkey optimization a recent artificial intelligence technique. We used Artificial Intelligence Techniques in image classification of Natural Terrain features & using Spider Monkey Optimization (SMO) for Image Classification
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.