An image acquisition planning tool for optimizing information content in image data of spaceborne SAR systems

2011 ◽  
Author(s):  
Harald Anglberger ◽  
Sebastien Tailhades ◽  
Helmut Suess
Keyword(s):  
Information Content ◽  
Image Acquisition ◽  
Image Data ◽  
Planning Tool ◽  
Acquisition Planning

scholarly journals Plant phenomics: an overview of image acquisition technologies and image data analysis algorithms

GigaScience ◽  
2017 ◽  
Vol 6 (11) ◽  
Author(s):  
Fernando Perez-Sanz ◽  
Pedro J Navarro ◽  
Marcos Egea-Cortines
Keyword(s):  
Data Analysis ◽  
Image Acquisition ◽  
Image Data ◽  
Plant Phenomics

scholarly journals Improving Image Quality and Reducing Drift Problems via Automated Data Acquisition and Averaging in a Cs-Corrected TEM

2008 ◽  
Vol 16 (6) ◽  
pp. 36-39 ◽  
Author(s):  
E. Voelkl ◽  
B. Jiang ◽  
Z.R. Dai ◽  
J.P Bradley
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Data Acquisition ◽  
Information Content ◽  
Exposure Time ◽  
Image Acquisition ◽  
Ccd Camera ◽  
Automated Data Acquisition ◽  
Processing Steps

Image acquisition with a CCD camera is a single-press-button activity: after selecting exposure time and adjusting illumination, a button is pressed and the acquired image is perceived as the final, unmodified proof of what was seen in the microscope. Thus it is generally assumed that the image processing steps of e.g., “darkcurrent correction” and “gain normalization” do not alter the information content of the image, but rather eliminate unwanted artifacts.

scholarly journals Payload Configurations for Efficient Image Acquisition – Indian Perspective

2014 ◽  
Vol XL-8 ◽  
pp. 1201-1206 ◽  
Author(s):  
D. R. M. Samudraiah ◽  
M. Saxena ◽  
S. Paul ◽  
P. Narayanababu ◽  
S. Kuriakose ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Data Acquisition ◽  
High Efficiency ◽  
Image Acquisition ◽  
Image Data ◽  
Space Research ◽  
Remotely Sensed Data ◽  
Data Utilization ◽  
Spectral Bands ◽  
The World

The world is increasingly depending on remotely sensed data. The data is regularly used for monitoring the earth resources and also for solving problems of the world like disasters, climate degradation, etc. Remotely sensed data has changed our perspective of understanding of other planets. With innovative approaches in data utilization, the demands of remote sensing data are ever increasing. More and more research and developments are taken up for data utilization. The satellite resources are scarce and each launch costs heavily. Each launch is also associated with large effort for developing the hardware prior to launch. It is also associated with large number of software elements and mathematical algorithms post-launch. The proliferation of low-earth and geostationary satellites has led to increased scarcity in the available orbital slots for the newer satellites. Indian Space Research Organization has always tried to maximize the utility of satellites. Multiple sensors are flown on each satellite. In each of the satellites, sensors are designed to cater to various spectral bands/frequencies, spatial and temporal resolutions. Bhaskara-1, the first experimental satellite started with 2 bands in electro-optical spectrum and 3 bands in microwave spectrum. The recent Resourcesat-2 incorporates very efficient image acquisition approach with multi-resolution (3 types of spatial resolution) multi-band (4 spectral bands) electro-optical sensors (LISS-4, LISS-3* and AWiFS). The system has been designed to provide data globally with various data reception stations and onboard data storage capabilities. Oceansat-2 satellite has unique sensor combination with 8 band electro-optical high sensitive ocean colour monitor (catering to ocean and land) along with Ku band scatterometer to acquire information on ocean winds. INSAT- 3D launched recently provides high resolution 6 band image data in visible, short-wave, mid-wave and long-wave infrared spectrum. It also has 19 band sounder for providing vertical profile of water vapour, temperature, etc. The same system has data relay transponders for acquiring data from weather stations. The payload configurations have gone through significant changes over the years to increase data rate per kilogram of payload. Future Indian remote sensing systems are planned with very high efficient ways of image acquisition. <br><br> This paper analyses the strides taken by ISRO (Indian Space research Organisation) in achieving high efficiency in remote sensing image data acquisition. Parameters related to efficiency of image data acquisition are defined and a methodology is worked out to compute the same. Some of the Indian payloads are analysed with respect to some of the system/ subsystem parameters that decide the configuration of payload. Based on the analysis, possible configuration approaches that can provide high efficiency are identified. A case study is carried out with improved configuration and the results of efficiency improvements are reported. This methodology may be used for assessing other electro-optical payloads or missions and can be extended to other types of payloads and missions.

The Design of High-Speed CMOS Imaging System Based on SOPC Technology

2010 ◽  
Vol 39 ◽  
pp. 523-528
Author(s):  
Xin Hua Yang ◽  
Yuan Yuan Shang ◽  
Da Wei Xu ◽  
Hui Zhuo Niu
Keyword(s):  
High Speed ◽  
Imaging System ◽  
Image Acquisition ◽  
Image Data ◽  
Image Sensor ◽  
Acquisition System ◽  
Storage Unit ◽  
Data Encoding ◽  
Acquisition Speed ◽  
Image Acquisition System

This paper introduces a design of a high-speed image acquisition system based on Avalon bus which is supported with SOPC technology. Some peripherals embedded in Avalon bus were customized and utilized in this system, such as imaging unit, decoding unit and storage unit, and these improved the speed of the whole imaging system. The data is compressed to three-fourths of the original by the decoding unit. A custom DMA is designed for moving the image data to the two caches of the SDRAM. This approach discards the method that FIFO must be put up in the traditional data acquisition system. And therefore, it reduced the CPU’s task for data moving. At the same time, the image acquisition and the data transmission can complete a parallel job. Finally, the design is worked on the high-speed image acquisition system which is made up of 2K*2K CMOS image sensor. And it improved the image acquisition speed by three ways: data encoding, custom DMA controller and the parallel processing.

Design of a High-Speed Image Data Real-Time Storage and Display Circuit

2014 ◽  
Vol 912-914 ◽  
pp. 1222-1227 ◽  
Author(s):  
Cheng Qun Chu ◽  
Yong Feng Ren ◽  
Fang Ma
Keyword(s):  
Real Time ◽  
High Speed ◽  
Image Acquisition ◽  
Image Data ◽  
Data Access ◽  
Acquisition System ◽  
Nand Flash ◽  
Large Capacity ◽  
Storage Rate ◽  
Internal Block

The needs of large-capacity storage in high-speed image acquisition systems require the design of reliable and efficient storage instruments. The paper presents a FPGA-based high-speed storage instrument for high speed Camera Link image acquisition system. The FPGA processes the input data and stores the results into the storage array. Multi-chip large-capacity SLC NAND Flash chips constitute a storage array, with up to 100MByte/s storage rate, is used for the digitization image signals. A multilevel high-speed buffer structure based on abundant internal block RAM resources in FPGA is used for speeding up data access. At the same time, it can take advantage of FPGA constructing the corresponding VGA timing signals to control the video conversion chip ADV7123 to realize the function of real-time display. After a description of the proposed hardware and solutions, an experimental was built to test the performance. The results have shown that the FPGA-based acquisition system is a compact and flexible solution for high-speed image acquisition applications.

The Image Acquisition System Based on the ARM

2012 ◽  
Vol 548 ◽  
pp. 710-713
Author(s):  
Shu Ping Xu ◽  
Fei Chen
Keyword(s):  
Image Acquisition ◽  
Image Data ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Acquisition System ◽  
System Use ◽  
Image Acquisition System ◽  
The Moment

The image acquisition and porcessing system is implemented by combining the embed technology and image technology.This image acquisition system use S3C44B0X which base on ARM for its core proeessing,make use of the CMOS image sensor to collect images,it stores the image data for the moment with FIFO, resolves the rate problem between ARM and the sensor.In the system,CPLD are taken advantage of. This set of equipment combines functions of image acquisting,image displaying and network transferring and has an excellent expansibility which easy to be developed secondly.

Application of Content-Based Image Retrieval in Medical Image Acquisition

2020 ◽  
pp. 220-240
Author(s):  
Vinayak Majhi ◽  
Sudip Paul
Keyword(s):  
Feature Extraction ◽  
Image Retrieval ◽  
Medical Diagnosis ◽  
Medical Image ◽  
Image Acquisition ◽  
Image Data ◽  
Content Based Image Retrieval ◽  
Extraction Algorithm ◽  
Day By Day ◽  
Acquisition Technique

Content-based image retrieval is a promising technique to access visual data. With the huge development of computer storage, networking, and the transmission technology now it becomes possible to retrieve the image data beside the text. In the traditional way, we find the content of image by the tagged image with some indexed text. With the development of machine learning technique in the domain of artificial intelligence, the feature extraction techniques become easier for CBIR. The medical images are continuously increasing day by day where each image holds some specific and unique information about some specific disease. The objectives of using CBIR in medical diagnosis are to provide correct and effective information to the specialist for the quality and efficient diagnosis of the disease. Medical image content requires different types of CBIR technique for different medical image acquisition techniques such as MRI, CT, PET Scan, USG, MRS, etc. So, in this concern, each CBIR technique has its unique feature extraction algorithm for each acquisition technique.

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