NDLI: Automatic cloud segmentation from INSAT-3D satellite image via IKM and IFCM clustering

Content Provider	IET Digital Library
Author	A, Pugazhenthi Kumar, Lakshmi Sutha
Abstract	Cloud extraction and classification from satellite imagery is important for many applications in remote sensing. Satellite images are segmented based on distance, intensity and texture of the images. The popular segmentation algorithms, k-means (KM) and fuzzy c-means (FCM) clustering algorithms, face some problems such as unknown number of groups, unknown initialization and dead centers. In this paper, an unsupervised pixel classification by the KM and FCM algorithms is improved and the selection of centroids is made automatic. The proposed improved k-means (IKM) and improved fuzzy c-means (IFCM) clustering algorithms segment the INSAT-3D satellite's thermal infrared image into low-level, middle-level, high-level clouds and non-cloudy region. As human beings can easily find the clouds in the satellite images, visible image is used to differentiate the clouds from the background. A threshold is found from the histogram of the visible image to separate the cloudy and non-cloudy pixels. The other three thresholds to divide the clouds into three types are found from the thermal infrared image's histogram. The segmentation results of IKM and IFCM algorithms are compared with the existing segmentation algorithms. The comparison shows that IFCM algorithm matches well with original image followed by IKM algorithm as compared with existing algorithms.
Starting Page	1273
Ending Page	1280
Page Count	8
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 7, May (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5271
Journal	IET Image Processing
Publisher Date	2019-10-23
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Atmospheric Technique Atmospheric/ionospheric/magnetospheric Technique And Equipment Automatic Cloud Segmentation Cloud Physics Clouds Cloudy Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics FCM Clustering Algorithm Fuzzy C-means Clustering Algorithm Fuzzy Set Theory Geophysical Image Processing Geophysics Computing High-level Cloudregion High-level Clouds IFCM Clustering IFCM Segmentation Algorithm IKM Segmentation Algorithm Image Classification Image Recognition Image Segmentation Image Texture Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research K-means Clustering Algorithm Low-level Cloud Region Low-level Clouds Middle-level Cloud Region Middle-level Clouds Noncloudy Region Remote Sensing Satellite Image Satellite Imagery Satellite System-three-dimensional Satellite Image TIR Image Histogram Unsupervised Pixel Classification VIS Image Visible Image
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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