scholarly journals Remote Sensing Satellite Image Clustering by Means of Messy Genetic Algorithm

2020 ◽  
Vol 11 (3) ◽  
Author(s):  
Kohei Arai
Keyword(s):  
Remote Sensing ◽  
Genetic Algorithm ◽  
Satellite Image ◽  
Image Clustering ◽  
Remote Sensing Satellite

Fuzzy C-Means Technique for Band Reduction and Segmentation of Hyperspectral Satellite Image

2021 ◽  
Vol 10 (4) ◽  
pp. 79-100
Author(s):  
Saravanakumar V. ◽  
Kavitha M. Saravanan ◽  
Balaram V. V. S. S. S. ◽  
Anantha Sivaprakasam S.
Keyword(s):  
Remote Sensing ◽  
Satellite Image ◽  
Hyperspectral Remote Sensing ◽  
Fuzzy Algorithm ◽  
Fuzzy C Means ◽  
Segmentation Process ◽  
Remote Sensing Satellite

This paper put forward for the segmentation process on the hyperspectral remote sensing satellite scene. The prevailing algorithm, fuzzy c-means, is performed on this scene. Moreover, this algorithm is performed in both inter band as well as intra band clustering (i.e., band reduction and segmentation are performed by this algorithm). Furthermore, a band that has topmost variance is selected from every cluster. This structure diminishes these bands into three bands. This reduced band is de-correlated, and subsequently segmentation is carried out using this fuzzy algorithm.

Analysis of the Computer Processing System of Remote Sensing Satellite Images

2013 ◽  
Vol 756-759 ◽  
pp. 3987-3991
Author(s):  
Chu Yan Li ◽  
Xian Wei Shi ◽  
Xiao Jing Li ◽  
Hai Yu Li ◽  
Lin Deng
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Satellite Images ◽  
Low Cost ◽  
Satellite Image ◽  
Processing System ◽  
Computer Processing ◽  
Image Processing System ◽  
Computer Image Processing ◽  
Remote Sensing Satellite

Remote sensing satellite images can intuitively reflect the information of the Earth's surface. The computer image processing system is of the advantages of high-precision and low-cost. It has a strong application value to study the computer processing system of remote sensing satellite image. The paper first discussed the design principles of the computer processing system and the implementation of its workflow, and then the application of the image processing system is briefly analyzed.

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