基于地理信息系统的生物量遗传估算

IF 1.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
S. Nagarajan
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引用次数: 0

摘要

以印度泰米尔纳德邦的Vellore为研究范围,提出了利用图像的相对遮阳大小来提取植被的方法。这种基于遗传的计算方法利用每幅图像的像素导向,试图找出其范围,从而拟合基于遗传的方法对植被生物量的正确测定。执行的简单性允许将来对计算进行任何进一步的更改。功能强大的图像处理组件,提高了对图像的控制。采用Google编程接口进行图像集中和生成。它允许将工作简单地扩大到任何人口范围。所提出的计算优于任何目前的设备,因为它考虑到单一像素值,而不是层。更重要的是,不需要图片或图层的预先含义。像素控制允许将有效利用的程序与其他更最新的图像处理策略混合在一起,这将促使更深远和多用途的计算。所利用的进度介于可操作和可以保持一个稳定的阶段,以进一步提高程度。该计算在计算速度上有一定的优势,并且可以通过使用更好的设备进行升级。并行注册可能是加速处理空闲像素的另一种选择。某些区域方法可以用来提高图像的珩磨和更好的限制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic-Based Estimation of Biomass Using Geographical Information System
The utilization of relative shading size of a picture to extricate the vegetation of a study range Vellore, Tamilnadu, India was proposed. This novel hereditary based calculation utilizes the pixel guide of every picture and tries to figure out the ranges using so as to fit the right determination for vegetation Biomass the hereditary based methodology. The simplicity of execution permits any further changes to the calculation in future. Capable picture handling component permitted improved control of picture A Google Programming interface was utilized to concentrate and yield picture. It permitted simple augmentation of the work to any demographic range. The proposed calculation is superior to anything some present day devices as it is taking into account singular pixel values as opposed to layers. All the more vitally, no pre-meaning of the picture or layer is needed. Pixel control permits blending the effectively utilized procedures with other more up to date picture handling strategies that would prompt a more far reaching and multi-useful calculation. The advances utilized are between operable and can be kept as a steady stage for further up degree. The calculation does endure in computational speed and can be upgraded by utilizing better equipment offices. Parallel registering may be another choice to accelerate the handling of free pixels. Certain area methodologies can be utilized to upgrade honing of picture and better limits.
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来源期刊
International Journal of Agricultural and Environmental Information Systems
International Journal of Agricultural and Environmental Information Systems COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.70
自引率
0.00%
发文量
10
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