scholarly journals Object-based approach for urban land cover mapping using high spatial resolution data

2021 ◽  
Vol 227 ◽  
pp. 01001
Author(s):  
Malgorzata Verone Wojtaszek ◽  
Levente Ronczyk ◽  
Zokhid Mamatkulov ◽  
Mamanbek Reimov
Keyword(s):  
Image Analysis ◽  
Land Cover ◽  
Data Extraction ◽  
Object Oriented ◽  
Accuracy Evaluation ◽  
Land Use Classification ◽  
Additional Information ◽  
Raster Analysis ◽  
Elevation Data ◽  
Rule Set

This paper deals with object-oriented image analysis applied for an urban area. Very high-resolution images in conjunction with object-oriented image analysis have been used for land cover detection. Using the eCognition software with object-oriented methods, not only the spectral information but also the shape, compactness and other parameters can be used to extract meaningful objects. The spectral and geometric diversity of urban surfaces is a very complex research issue. It is the main reason why additional information is needed to improve the outcome of classification. The most consistent and relevant characteristic of buildings is their height. Therefore, elevation data (converted from LIDAR data) are used for building extraction, segmentation and classification. The study deals with the problem, how to determine the most appropriate parameters of segmentation, feature extraction and classification methods. The data extraction includes two phases, the first part consists the following steps: data pre-processing, rule set development, multi-scale image segmentation, the definition of features used to map land use, classification based on rule set and accuracy evaluation. The second part of the data process based on classical raster analysis GIS tools like focal and zonal function.

scholarly journals Object-oriented classification for land cover of North Thang Long Industrial area using Worldview-2 data

2021 ◽  
Vol 62 (1) ◽  
pp. 10-18
Author(s):  
Ha Thu Thi Le ◽  
Long Van Hoang ◽  
Trung Van Nguyen ◽  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Resolution ◽  
Spectral Characteristics ◽  
Object Oriented ◽  
Remote Sensing Data ◽  
Industrial Area ◽  
Classification Method ◽  
Land Use Classification ◽  
Kappa Index

Land cover/land use classification using high spatial resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values based on structures, shapes, and spatial elements. This paper focuses on the object-oriented classification method to extract artificial surface at industrial area by Worldview-2 data with a spatial resolution of 1.8 m. Extraction of 05 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, location of objects, brightness, NDVI index, and density objects are archive efficiency to the quality of classification results. The overall accuracy of classification result for land cover/land use of Thang Long industrial area is about 0.85 and Kappa index is about 0.81.

Establishment of land cover map using object-oriented classification method for VNREDSat-1 data

2020 ◽  
Vol 61 (2) ◽  
pp. 134-144 ◽  
Author(s):  
Lan Thi Pham ◽  
Son Phi Nguyen ◽  
Nghia Viet Nguyen ◽  
Huong Van Dao ◽  
Long Duc Doan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spectral Characteristics ◽  
Object Oriented ◽  
Remote Sensing Data ◽  
Shape Index ◽  
Classification Method ◽  
Land Use Classification ◽  
Land Cover Map ◽  
Level 3

Land cover/land use classification using high resolution remote sensing data has the biggest challenge is how to distinguish object classes from different spectral values, structures, shapes, and spatial elements. This paper reveals the object-oriented classification method to establish the land cover map using VNREDSat-1 data, with a spatial resolution of 10 m. Land cover/land use system is classified according to CORINE with level 3 with 14 types of land cover/land use. Extraction of 14 types of land cover/land use using object-oriented classification method based on reflectance spectral characteristics, shape index, location of objects, brightness, NDVI plant index, and density objects. The overall accuracy of classification result is about 0.71%.

Application of object-oriented image analysis to land-cover classification in hilly areas

2014 ◽  
Vol 34 (24) ◽  
Author(s):  
谭磊 TAN Lei ◽  
赵书河 ZHAO Shuhe ◽  
罗云霄 LUO Yunxiao ◽  
周洪奎 ZHOU Hongkui ◽  
王安 WANG An ◽  
...  
Keyword(s):  
Image Analysis ◽  
Land Cover ◽  
Object Oriented ◽  
Land Cover Classification

Amisulpride: A New Drug for Management of Postoperative Nausea and Vomiting

2021 ◽  
pp. 106002802098701
Author(s):  
Stacy L. Haber ◽  
April Graybill ◽  
Ani Minasian
Keyword(s):  
Postoperative Nausea ◽  
Data Extraction ◽  
Postoperative Nausea And Vomiting ◽  
Abdominal Distension ◽  
Complete Response ◽  
Nausea And Vomiting ◽  
Dopamine Antagonists ◽  
Dopamine Antagonist ◽  
Additional Information ◽  
Pubmed Search

Objective: To review the pharmacology, efficacy, and safety of amisulpride and determine its role in the management of postoperative nausea and vomiting (PONV). Data Sources: A PubMed search (1946 to November 2020) using the terms amisulpride and APD421 was conducted. Study Selection and Data Extraction: Relevant reports on intravenous amisulpride were included. Data Synthesis: Six clinical trials were evaluated. In 4 trials on the prevention of PONV, a greater percentage of patients who received amisulpride 5 mg compared with placebo experienced a complete response (44%-60% vs 31%-33%, respectively, when used as monotherapy; 58% vs 47%, respectively, when used in combination with another antiemetic). In 2 trials on the treatment of PONV, a significantly greater percentage of patients who received amisulpride 10 mg compared with placebo experienced a complete response (31.4% vs 21.5%, respectively, in patients who had not received prophylaxis; 41.7% vs 28.5%, respectively, in patients who had received prophylaxis). Adverse effects included infusion site pain, chills, hypokalemia, procedural hypotension, and abdominal distension. Relevance to Patient Care and Clinical Practice: Amisulpride is effective for the management of PONV and may be less likely to cause QT prolongation and extrapyramidal symptoms than other dopamine antagonists. Additional information is needed on its use for chemotherapy-induced nausea and vomiting and in children. Conclusions: Amisulpride is an important new option for the multimodal management of PONV in adults, and it may be the preferred dopamine antagonist because of the more favorable safety profile that results from its unique pharmacological properties.

scholarly journals A Comparative Analysis of Spatial Data and Land Use/Land Cover Classification in Urbanized Areas and Areas Subjected to Anthropogenic Pressure for the Example of Poland

2021 ◽  
Vol 13 (6) ◽  
pp. 3070
Author(s):  
Patrycja Szarek-Iwaniuk
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Classification ◽  
Classification Systems ◽  
Anthropogenic Pressure ◽  
Land Use Land Cover ◽  
Land Use Classification ◽  
Land Cover Data ◽  
Spatial Changes ◽  
Land Use Types

Urbanization processes are some of the key drivers of spatial changes which shape and influence land use and land cover. The aim of sustainable land use policies is to preserve and manage existing resources for present and future generations. Increasing access to information about land use and land cover has led to the emergence of new sources of data and various classification systems for evaluating land use and spatial changes. A single globally recognized land use classification system has not been developed to date, and various sources of land-use/land-cover data exist around the world. As a result, data from different systems may be difficult to interpret and evaluate in comparative analyses. The aims of this study were to compare land-use/land-cover data and selected land use classification systems, and to determine the influence of selected classification systems and spatial datasets on analyses of land-use structure in the examined area. The results of the study provide information about the existing land-use/land-cover databases, revealing that spatial databases and land use and land cover classification systems contain many equivalent land-use types, but also differ in various respects, such as the level of detail, data validity, availability, number of land-use types, and the applied nomenclature.

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