Object-oriented classification and application in land use classification using SPOT-5 PAN imagery

2004 ◽  
Author(s):  
Ziyu Wang ◽  
Wenxia Wei ◽  
Shuhe Zhao ◽  
Xiuwan Chen
Keyword(s):  
Land Use ◽  
Object Oriented ◽  
Land Use Classification ◽  
Spot 5

A Comparison of Two Object-Oriented Methods for Land-Use/Cover Change Detection with SPOT 5 Imagery

2012 ◽  
Vol 10 (1) ◽  
pp. 415-424 ◽  
Author(s):  
Jie Liang ◽  
Jianyu Yang ◽  
Chao Zhang ◽  
Xuejiao Du ◽  
Anzhi Yue ◽  
...  
Keyword(s):  
Land Use ◽  
Change Detection ◽  
Object Oriented ◽  
Object Oriented Methods ◽  
Spot 5

scholarly journals Improvement of land-use classification using object-oriented and fuzzy logic approach

2009 ◽  
Vol 1 (4) ◽  
pp. 111-120 ◽  
Author(s):  
Akif Mohammed Al Fugara ◽  
Biswajeet Pradhan ◽  
Thamer Ahmed Mohamed
Keyword(s):  
Land Use ◽  
Fuzzy Logic ◽  
Object Oriented ◽  
Land Use Classification ◽  
Fuzzy Logic Approach ◽  
Logic Approach

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%.

Knowledge-Based Object Oriented Land Use Classification Using WorldView-2 Images

2012 ◽  
Vol 10 (1) ◽  
pp. 279-284 ◽  
Author(s):  
Xiaoyun Wang ◽  
Chao Zhang ◽  
Jianyu Yang ◽  
Anzhi Yue ◽  
Dehai Zhu ◽  
...  
Keyword(s):  
Land Use ◽  
Object Oriented ◽  
Land Use Classification ◽  
Knowledge Based
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