Automatic mixed pixel detection using a new hybrid Cellular automata approach on satellite image

Forskningsoutput: Kapitel i bok/rapport/Conference proceedingKonferenspaper i proceeding

Abstract

Mixed-pixels classification in land-cover regions is a challenging task in remote sensing imagery. To classify mixed-pixels, vagueness is always the main characteristic by handling uncertainty. We propose a hybrid approach for pixel classification using Rough sets and Cellular automata models to solve this problem. Multiple belongingness and vagueness among data can be handled efficiently using Rough set theory and is appropriate for detecting arbitrarily-shaped clusters in satellite images. We propose a rough-set based automatic heuristically decision-rule generation algorithm to obtain initial set of clusters. As a discrete, dynamical system, cellular automaton comprises of uniformly interconnected cells with states. In the second phase of our method, we utilize a 2-dimensional cellular automaton to prioritize allocations of mixed pixels among overlapping land cover regions. We experiment our algorithm on Ajoy river catchment area. The segmented regions are compared with well-known FCM and K-Means methods and the ground truth knowledge, which shows superiority of our new approach.

Detaljer

Författare
Externa organisationer
  • Government College of Engineering & Leather Technology, Kolkata
  • Jadavpur University
Forskningsområden

Nyckelord

Originalspråkengelska
Titel på värdpublikation2017 1st International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2017
RedaktörerG. S. Taki
FörlagInstitute of Electrical and Electronics Engineers Inc.
ISBN (elektroniskt)9781509053346
StatusPublished - 2017 okt 19
PublikationskategoriForskning
Peer review utfördJa
Externt publiceradJa
Evenemang1st International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2017 - Science City, Kolkata, Indien
Varaktighet: 2017 apr 282017 apr 29

Konferens

Konferens1st International Conference on Electronics, Materials Engineering and Nano-Technology, IEMENTech 2017
LandIndien
OrtScience City, Kolkata
Period2017/04/282017/04/29