Research on the change of Spatio-temporal characteristics of Urban built-up area based on remote Sensing-- A case study of Yulin City, Shaanxi Province

Abstract Since the reform and opening up, the process of urbanization in China has been at a high level. In order to accurately obtain the boundary of urban built-up area and the spatiotemporal change characteristics of urban built-up area in recent years, this paper takes Yulin City as an example. With the help of ArcGIS, ERDAS and other platforms, we combine spatial comparison method and index method to extract urban built-up area from DMSP-OLS night light data and Landsat image data. At the same time, the confusion matrix is used to verify the extraction boundary. The research shows that: (1) Using DMSP-OLS night light data and Landsat data to extract the built-up area, the overall accuracy can reach 99%; (2) The urban built-up area of Yulin City expanded at a high speed from 2005 to 2018; (3) The urbanization process in the northeast of Yulin City is obviously higher than that in the south in recent years. This study has a certain reference value for the extraction of urban built-up areas and the development of urbanization in Yulin City by using DMSP-OLS night light data and Landsat data.

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Real-time image-content-based beamline control for smart 4D X-ray imaging

Journal of Synchrotron Radiation ◽

10.1107/s1600577516010195 ◽

2016 ◽

Vol 23 (5) ◽

pp. 1254-1263 ◽

Cited By ~ 24

Author(s):

Matthias Vogelgesang ◽

Tomas Farago ◽

Thilo F. Morgeneyer ◽

Lukas Helfen ◽

Tomy dos Santos Rolo ◽

...

Keyword(s):

Real Time ◽

High Speed ◽

Image Data ◽

Building Blocks ◽

Level Control ◽

Real Time Processing ◽

X Ray ◽

Level Data ◽

High Level

Real-time processing of X-ray image data acquired at synchrotron radiation facilities allows for smart high-speed experiments. This includes workflows covering parameterized and image-based feedback-driven control up to the final storage of raw and processed data. Nevertheless, there is presently no system that supports an efficient construction of such experiment workflows in a scalable way. Thus, here an architecture based on a high-level control system that manages low-level data acquisition, data processing and device changes is described. This system is suitable for routine as well as prototypical experiments, and provides specialized building blocks to conduct four-dimensionalin situ,in vivoandoperandotomography and laminography.

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Perubahan sebaran dan kerapatan hutan mangrove di Pesisir Pantai Bama, Taman Nasional Baluran menggunakan citra satelit SPOT 4 dan SPOT 6

DEPIK ◽

10.13170/depik.9.2.14494 ◽

2020 ◽

Vol 9 (2) ◽

pp. 184-192

Author(s):

Andhika Rahmatullah Laksmana Fudloly ◽

Mochammad Arif Zainul Fuad ◽

Anang Dwi Purwanto

Keyword(s):

Coastal Waters ◽

National Park ◽

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Confusion Matrix ◽

Image Data ◽

Mangrove Forests ◽

Accuracy Test ◽

Park Area ◽

High Level

The condition of mangrove forests in the Baluran National Park area is always changing. Mapping changes of mangrove area and density is needed to find out areas that need attention for mangrove conservation. The study aimed to determine the distribution and the density of mangrove forests in coastal waters of Bama, Baluran National Park. The image data used were SPOT 4 acquisition in 2007 and SPOT 6 acquisition in 2017 as well as field data that have been collected on 23-25 January 2019. The method of separating mangrove and non-mangrove objects used supervised classification, whereas for estimating the density of mangrove using the Normalized Difference Vegetation Index (NDVI) algorithm. The results showed the distribution of mangrove forests in coastal waters of Bama, Baluran National Park from 2007-2017 decreased in area by 8.9 ha. In contrast, the condition of mangrove density increased significantly, where the changes in mangrove density were dominated in the high-density class. The results of the accuracy tests using the method confusion matrix obtained an overall accuracy of 88%, while the accuracy-test with the kappa method obtained an accuracy of 87.76%. The resulting accuracy value indicates a high level of accuracy (more than 85%) and according to the specified requirements.Keywords: Mangrove, NDVI, SPOT 4, SPOT 6, Baluran National Park ABSTRAKKondisi luasan hutan mangrove di kawasan Taman Nasional Baluran terus mengalami perubahan. Pemetaan perubahan luasan dan kerapatan mangrove sangat diperlukan untuk mengetahui area yang membutuhkan perhatian untuk pelestarian mangrove. Penelitian ini bertujuan untuk mengetahui sebaran dan kerapatan hutan mangrove di pesisir pantai Bama, Taman Nasional Baluran. Data yang digunakan dalam penelitian adalah citra SPOT 4 akuisisi tahun 2007 dan citra SPOT 6 akuisisi tahun 2017 dan data hasil survei lapangan yang telah dilakukan pada tanggal 23 - 25 Januari 2019. Metode pemisahan obyek mangrove dan non mangrove menggunakan klasifikasi terbimbing (supervised), sedangkan untuk pendugaan tingkat kerapatan mangrove menggunakan algoritma Normalized Difference Vegetation Index (NDVI). Hasil penelitian menunjukkan sebaran hutan mangrove di pesisir pantai Bama, Taman Nasional Baluran dari tahun 2007-2017 mengalami penurunan luasan sebesar 8,9 ha, sedangkan kondisi tingkat kerapatan mangrove mengalami peningkatan yang cukup signifikan dimana perubahan kerapatan mangrove didominasi pada kelas kerapatan rapat. Hasil uji akurasi menggunakan metode matriks kesalahan (confusion matrix) memperoleh overall accuracy sebesar 88%, sedangkan uji akurasi dengan metode kappa diperoleh tingkat akurasi sebesar 87,76%. Nilai akurasi yang dihasilkan menunjukkan tingkat ketelitian yang cukup tinggi (lebih dari 85%) dan telah memenuhi syarat yang ditetapkan.Kata kunci: Mangrove, NDVI, SPOT 4, SPOT 6, Taman Nasional Baluran

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The Design of Image Acquisition System Based on Contex-M3

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.278-280.1148 ◽

2013 ◽

Vol 278-280 ◽

pp. 1148-1152

Author(s):

Fan Zhang ◽

Jian Dong Mao ◽

Zhi Min Rao ◽

Ya Ya Zhang

Keyword(s):

High Speed ◽

Low Cost ◽

Image Acquisition ◽

Reference Value ◽

Image Data ◽

Image Sensors ◽

Acquisition System ◽

Similar System ◽

Image Acquisition System ◽

Sd Card

A CMOS image acquisition system based on Contex-M3 is developed. In design STM32F103X is selected as the main controller, OV7670 is used for image sensors. In order to capture high-speed digital image, the FIFO buffer chip AL422B and SD Card under the control of the DMA are employed to directly transfer data. Moreover the SD card and 2.8 inch TFT LCD are selected to storage and display image data, respectively. Because of small size, low power, simple structure and low cost, the image acquisition system can provide an important reference value for development of similar system.

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High-speed brightfield 3-D imaging and 3-D image analysis of thick and overlapped cell clusters in cytological preparations

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100168827 ◽

1994 ◽

Vol 52 ◽

pp. 218-219

Author(s):

Robert W. Mackin

Keyword(s):

Image Analysis ◽

High Speed ◽

Three Dimensional ◽

Image Data ◽

Ccd Camera ◽

Objective Lens ◽

Array Processor ◽

Vaginal Smears ◽

Low Contrast ◽

Computer Controlled

This paper presents two advances towards the automated three-dimensional (3-D) analysis of thick and heavily-overlapped regions in cytological preparations such as cervical/vaginal smears. First, a high speed 3-D brightfield microscope has been developed, allowing the acquisition of image data at speeds approaching 30 optical slices per second. Second, algorithms have been developed to detect and segment nuclei in spite of the extremely high image variability and low contrast typical of such regions. The analysis of such regions is inherently a 3-D problem that cannot be solved reliably with conventional 2-D imaging and image analysis methods.High-Speed 3-D imaging of the specimen is accomplished by moving the specimen axially relative to the objective lens of a standard microscope (Zeiss) at a speed of 30 steps per second, where the stepsize is adjustable from 0.2 - 5μm. The specimen is mounted on a computer-controlled, piezoelectric microstage (Burleigh PZS-100, 68/μm displacement). At each step, an optical slice is acquired using a CCD camera (SONY XC-11/71 IP, Dalsa CA-D1-0256, and CA-D2-0512 have been used) connected to a 4-node array processor system based on the Intel i860 chip.

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DFT Benchmark Study of the O--O Bond Dissociation Energy in Peroxides Validated with High-Level Ab-Initio Calculations

10.26434/chemrxiv.8217221.v1 ◽

2019 ◽

Author(s):

Danilo Carmona ◽

Pablo Jaque ◽

Esteban Vöhringer-Martinez

Keyword(s):

Reference Value ◽

Basis Set ◽

Basis Sets ◽

Mean Deviation ◽

Bond Dissociation ◽

Dissociation Energies ◽

The Mean ◽

Experimental Values ◽

High Level ◽

Almost All

<div><div><div><p>Peroxides play a central role in many chemical and biological pro- cesses such as the Fenton reaction. The relevance of these compounds lies in the low stability of the O–O bond which upon dissociation results in radical species able to initiate various chemical or biological processes. In this work, a set of 64 DFT functional-basis set combinations has been validated in terms of their capability to describe bond dissociation energies (BDE) for the O–O bond in a database of 14 ROOH peroxides for which experimental values ofBDE are available. Moreover, the electronic contributions to the BDE were obtained for four of the peroxides and the anion H2O2− at the CBS limit at CCSD(T) level with Dunning’s basis sets up to triple–ζ quality provid- ing a reference value for the hydrogen peroxide anion as a model. Almost all the functionals considered here yielded mean absolute deviations around 5.0 kcal mol−1. The smallest values were observed for the ωB97 family and the Minnesota M11 functional with a marked basis set dependence. Despite the mean deviation, order relations among BDE experimental values of peroxides were also considered. The ωB97 family was able to reproduce the relations correctly whereas other functionals presented a marked dependence on the chemical nature of the R group. Interestingly, M11 functional did not show a very good agreement with the established order despite its good performance in the mean error. The obtained results support the use of similar validation strategies for proper prediction of BDE or other molecular properties by DF Tmethods in subsequent related studies.</p></div></div></div>

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Symmetry perception with spiking neural networks

Scientific Reports ◽

10.1038/s41598-021-85232-3 ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Jonathan K. George ◽

Cesare Soci ◽

Mario Miscuglio ◽

Volker J. Sorger

Keyword(s):

Neural Networks ◽

Mirror Symmetry ◽

Satellite Image ◽

Image Data ◽

Coincidence Detection ◽

Spiking Neural Networks ◽

Feed Forward Neural Network ◽

Neuromorphic Computing ◽

Symmetry Perception ◽

High Level

AbstractMirror symmetry is an abundant feature in both nature and technology. Its successful detection is critical for perception procedures based on visual stimuli and requires organizational processes. Neuromorphic computing, utilizing brain-mimicked networks, could be a technology-solution providing such perceptual organization functionality, and furthermore has made tremendous advances in computing efficiency by applying a spiking model of information. Spiking models inherently maximize efficiency in noisy environments by placing the energy of the signal in a minimal time. However, many neuromorphic computing models ignore time delay between nodes, choosing instead to approximate connections between neurons as instantaneous weighting. With this assumption, many complex time interactions of spiking neurons are lost. Here, we show that the coincidence detection property of a spiking-based feed-forward neural network enables mirror symmetry. Testing this algorithm exemplary on geospatial satellite image data sets reveals how symmetry density enables automated recognition of man-made structures over vegetation. We further demonstrate that the addition of noise improves feature detectability of an image through coincidence point generation. The ability to obtain mirror symmetry from spiking neural networks can be a powerful tool for applications in image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media and may help accelerating the brain-machine interconnection. More importantly it enables a technology pathway in bridging the gap between the low-level incoming sensor stimuli and high-level interpretation of these inputs as recognized objects and scenes in the world.

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Sustainable development early warning and financing risk management of resource-based industrial clusters using optimization algorithms

Journal of Enterprise Information Management ◽

10.1108/jeim-03-2021-0152 ◽

2022 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Yawen Wang ◽

Weixian Xue

Keyword(s):

Risk Assessment ◽

Early Warning ◽

Industrial Cluster ◽

Industrial Clusters ◽

Shaanxi Province ◽

Support Vector ◽

Content Type ◽

Financing Risk ◽

Yulin City ◽

Warning Model

PurposeThe purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.Design/methodology/approachThis study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.FindingsThe results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.Originality/valueThe results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

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Effect of Air Fraction on Force Coefficients in Oscillatory Flow

10.1115/omae2021-61122 ◽

2021 ◽

Author(s):

Malene Hovgaard Vested ◽

Erik Damgaard Christensen

Keyword(s):

High Speed ◽

Offshore Structures ◽

Air Injection ◽

Wave Loads ◽

Morison Equation ◽

Force Coefficients ◽

Air Content ◽

Set Up ◽

High Level ◽

Spilling Breakers

Abstract The forces on marine and offshore structures are often affected by spilling breakers. The spilling breaker is characterized by a roller of mixed air and water with a forward speed approximately equal to the wave celerity. This high speed in the top of the wave has the potential to induce high wave loads on upper parts of the structures. This study analyzed the effect of the air content on the forces. The analyses used the Morison equation to examine the effect of the percentage of air on the forces. An experimental set-up was developed to include the injection of air into an otherwise calm water body. The air-injection did introduce a high level a turbulence. It was possible to assess the amount of air content in the water for different amounts of air-injection. In the mixture of air and water the force on an oscillating square cylinder was measured for different levels of air-content, — also in the case without air. The measurements indicated that force coefficients for clear water could be use in the Morison equation as long as the density for water was replaced by the density for the mixture of air and water.

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Three-dimensional reconstruction of metabolic data from quantitative autoradiography of rat brain

AJP Endocrinology and Metabolism ◽

10.1152/ajpendo.1984.247.3.e412 ◽

1984 ◽

Vol 247 (3) ◽

pp. E412-E419 ◽

Cited By ~ 2

Author(s):

L. S. Hibbard ◽

R. A. Hawkins

Keyword(s):

High Speed ◽

Three Dimensional ◽

Image Data ◽

Brain Structures ◽

Three Dimensions ◽

Quantitative Autoradiography ◽

Alignment Algorithm ◽

Computer Methods ◽

Mathematical Properties ◽

Dimensional Reconstruction

Quantitative autoradiography is a powerful method for studying brain function by the determination of blood flow, glucose utilization, or transport of essential nutrients. Autoradiographic images contain vast amounts of potentially useful information, but conventional analyses can practically sample the data at only a small number of points arbitrarily chosen by the experimenter to represent discrete brain structures. To use image data more fully, computer methods for its acquisition, storage, quantitative analysis, and display are required. We have developed a system of computer programs that performs these tasks and has the following features: 1) editing and analysis of single images using interactive graphics, 2) an automatic image alignment algorithm that places images in register with one another using only the mathematical properties of the images themselves, 3) the calculation of mean images from equivalent images in different experimental serial image sets, 4) the calculation of difference images (e.g., experiment-minus-control) with the option to display only differences estimated to be statistically significant, and 5) the display of serial image metabolic maps reconstructed in three dimensions using a high-speed computer graphics system.

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