Real Time Image Processing System for Crop Segmentation

被引：2

作者：

Kawade, Sharayu Sharad ^{[1
]}

Akant, Kalyani ^{[1
]}

机构：

[1] GH Raisoni Coll Engn, Dept Elect & Telecommun Engn, Nagpur, Maharashtra, India

来源：

2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2021年

关键词：

FPGA; Xilinx; MATLAB; Image Processing; Indices;

D O I：

10.1109/I2CT51068.2021.9417921

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

With the growth of remote-sensing technology, remote-sensing image processing plays an important role in different application areas, such as geological exploration and prevention from natural disaster. Normally, remote-sensing data are downlinked to the ground station, then preprocessed, and distributed towards users. This process is time consuming. Therefore a real time processing system is required. This paper proposed combination of hardware and software tools for image processing as well as for vegetation indices calculations. First FPGA is used as a hardware tool to read image. We have applied three image processing algorithms with the help of Xilinx's software. Second, for the crop segmentation we developed a website, in which we have calculated vegetation indices NDVI, SAVI, OSAVI. The experimental results demonstrate that the system not only meets real time requirements but also gives a new approach for vegetation indices calculations.

引用

页数：6

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