A Hardware Accelerator for the Segmentation of Hyperspectral Images

被引：1

作者：

Passos, Arthur ^{[1
]}

Viel, Felipe ^{[1
]}

Zeferino, Cesar A. ^{[1
]}

机构：

[1] Univ Vale Itajai UNIVALI, Lab Embedded & Distributed Syst LEDS, Itajai, SC, Brazil

来源：

33RD SYMPOSIUM ON INTEGRATED CIRCUITS AND SYSTEMS DESIGN (SBCCI 2020) | 2020年

关键词：

remote sensing; hyperspectral imaging; segmentation; FPGA;

D O I：

10.1109/sbcci50935.2020.9189907

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Hyperspectral images (HSIs) contain hundreds of spectral bands that combine spatial characteristics of a scene and are widely used in object identification and classification in various industry and science contexts. However, the processing of HSIs requires high processing power, and one of its compute-intensive tasks is the image segmentation. In this context, this paper presents the development of a first hardware accelerator proposed to speedup a multiresolution algorithm for the segmentation of HSIs. The most computationally expensive step of this algorithm was described in HDL and synthesized to FPGA. Results show that the performance of the hardware accelerator is close to that of a 3.2 GHz PC desktop, spending 20% of the energy consumed by the PC to process a single band.

引用

页数：5

共 16 条

[1]

Baatz M, 2000, ANGEW GEOGRAPHISCHE, P12, DOI DOI 10.3390/RS5010183

[2]

Chang C.I., 2013, Hyperspectral Data Processing: Algorithm Design and Analysis

[3]

Chang CC, 2003, ACAD STUD ASIAN ECON, P1

[4] A novel hyperspectral image classification approach based on multiresolution segmentation with a few labeled samples [J].

Cui, Binge ;

Ma, Xiudan ;

Zhao, Faxi ;

Wu, Yanan .

INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2017, 14 (03) :1-10

[5]

Fiete R. D., 2012, Formation of a Digital Image: The Imaging Chain Simplified

[6] Use of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing [J].

Gonzalez, Carlos ;

Sanchez, Sergio ;

Paz, Abel ;

Resano, Javier ;

Mozos, Daniel ;

Plaza, Antonio .

INTEGRATION-THE VLSI JOURNAL, 2013, 46 (02) :89-103

[7]

Gonzalez R. C., 2003, Digital Image Processing Using MATLAB

[8] A Region-Growing Segmentation Algorithm for GPUs [J].

Happ, Patrick Nigri ;

Feitosa, Raul Queiroz ;

Bentes, Cristiana ;

Farias, Ricardo .

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2013, 10 (06) :1612-1616

[9]

Jimenez L., 2015, 2015 INT C COMP TOOL

[10]

Kuruvilla J, 2016, PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON DATA MINING AND ADVANCED COMPUTING (SAPIENCE), P198, DOI 10.1109/SAPIENCE.2016.7684170

← 1 2 →