Abstract
Abstract. The Earth has always been under the influence of population growth and human activities. This process causes the changes in land use. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Satellite remote sensing has several advantages for monitoring land use/cover resources, especially for large geographic areas. Change detection and attribution of cultivation area over time present additional challenges for correctly analyzing remote sensing imagery. In this regards, for better identifying change in multi temporal images we use hyperspectral images. Hyperspectral images due to high spectral resolution created special placed in many of field. Nevertheless, selecting suitable and adequate features/bands from this data is crucial for any analysis and especially for the change detection algorithms. This research aims to automatically feature selection for detect land use changes are introduced. In this study, the optimal band images using hyperspectral sensor using Hyperion hyperspectral images by using genetic algorithms and Ratio bands, we select the optimal band. In addition, the results reveal the superiority of the implemented method to extract change map with overall accuracy by a margin of nearly 79% using multi temporal hyperspectral imagery.
Highlights
A world in which we live is constantly changing
Methods In proposed method, all the bands corresponding to the first time band corresponding to the second time, according to Eq 3
Begin genetic algorithm (GA) that it has a number of elements, which includes the search space, gene, chromosome, the initial population, to generate the generation that includes the doi:10.5194/isprsarchives-XL-1-W5-669-2015
Summary
With the study can be understand that the origin of these changes: human activities and natural phenomena This process of change and transformation causes the destruction of some phenomenon, and there are some phenomena and effects. Remote sensing (RS) is kind of new source of numerous applications in the field of Earth Sciences that studies one of the most important applications identified changes to the Earth's surface. With the advancement of remote sensing technology, it is possible to obtain spectral band in satellite image format in hundreds of wavelengths These images are known as hyperspectral images, which can be
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