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首页> 外文期刊>Fresenius environmental bulletin >OBJECT BASED CLASSIFICATION OF UNMANNED AERIAL VEHICLE (UAV) IMAGERY FOR FOREST FIRES MONITORING
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OBJECT BASED CLASSIFICATION OF UNMANNED AERIAL VEHICLE (UAV) IMAGERY FOR FOREST FIRES MONITORING

机译：基于对象的无人飞行器（UAV）图像分类，用于森林火灾监测

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In case of fire, determination of burned trees and fire direction is very important. Until now, satellite images and aerial photographs have been widely used in forest fire studies. However, these data can be ineffective in terms of temporal and spatial resolution. In recent years, due to high resolution of provided images, use of Unmanned Aerial Vehicle (UAV) rapidly increased in forest related monitoring studies. Images obtained soon after the forest fires by means of UAVbecome the most important data to evaluate the damage level in the forestry area using different classification techniques. Conventional image classification methods are inefficient for evaluation of high resolution images. However, object-based classification is more accurate than conventional methods. Because, this method uses spectral, neighborhood, texture, hierarchy and size based relationships. In this study, forest fires occurred in Camburnu Natural Park in Surmene District of Trabzon Province located in the Black Sea Region of Turkey was selected as the study area. To determine the destroyed area, high resolution UAV images of the study area were obtained and image pre-processing steps were employed. Object-based classification and pixel-based classification have applied to these images. The boundaries of destroyed forest have been extracted by means of two classification methods. Additionally, combining of these two classification results was investigated to improve the results of the burned area.
机译：万一发生火灾，确定被烧毁的树木和火灾的方向非常重要。到目前为止，卫星图像和航拍照片已广泛用于森林火灾研究。但是，这些数据在时间和空间分辨率方面可能无效。近年来，由于所提供图像的高分辨率，在与森林有关的监测研究中，无人机的使用迅速增加。森林火灾后通过无人机获得的图像成为使用不同分类技术评估林区破坏程度的最重要数据。传统的图像分类方法在评估高分辨率图像方面效率低下。但是，基于对象的分类比常规方法更准确。因为，此方法使用基于光谱，邻域，纹理，层次和大小的关系。在这项研究中，位于土耳其黑海地区特拉布宗省Surmene区Camburnu自然公园发生的森林大火被选为研究区域。为了确定破坏区域，获得了研究区域的高分辨率无人机图像，并采用了图像预处理步骤。基于对象的分类和基于像素的分类已应用于这些图像。已通过两种分类方法提取了被破坏森林的边界。此外，结合这两种分类结果进行了研究，以改善燃烧区域的结果。

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