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Web
Education
Land Cover Classification in a Complex Urban-Rural ...
High spatial resolution images have been increasingly used for urban land use/cover classification, but the high spectral variation within the same land cover, the spectral confusion among different land covers, and the shadow problem often lead to poor classification performance based on the traditional per-pixel spectral-based classification methods....
 COMPARATIVE STUDY OF PIXEL-BASED AND OBJECT-BASED IMAGE ...
• Object-based image classification typically consists of three main steps: • (1) Image segmentation • (2) Development of an image object hierarchy • (3) Classification (Benz et al., 2004). • Aba is one of the fastest growing towns in Nigeria and also the commercial nerve center of Abia State.
Remote Sensing – An Effective Data Source for Urban ...
Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas. Advances in Space Research, 43 (7), 1101–1110. [26] Heiden, U., Segl, K., Roessner, S. & Kaufmann, H. (2007) Determination of robust spectral features for identification of urban surface materials in hyperspectral remote sensing data....
Publications | Dr. Hongxing Liu’s GIS and Remote Sensing ...
Referred Journal Papers: Yu B., Liu H., Wu J., “A Method for Urban Vegetation Classification Using Airborne LiDAR Data and High Resolution Remote Sensing Images.” Journal of Image and Graphics (in press) Liu, H., Y. Gao*, D. Sherman, and L. Wang* “Conceptual framework and numerical algorithms for object-oriented analysis of coastal morphological changes with airborne…...
High resolution remote sensing for reducing uncertainties ...
However, species-specific results highly varied and could drop by 40–60%. Whereas a higher temporal resolution of satellite imagery could improve the classification of urban tree species, such as seasonal data of RapidEye satellite imagery (5 spectral bands, 6.5 m pixel size), which correlates to differences in vegetation phenology....
Geographic Object-Based Image Analysis – Towards a new ...
Image-objects as defined by Hay et al. (2001) are basic entities, located within an image that are perceptually generated from High-resolution pixel groups, where each pixel group is composed of similar data values, and possesses an intrinsic size, shape, and geographic relationship with the real-world scene component it models.
OBJECT-ORIENTED ANALYSIS OF VERY HIGH RESOLUTION ...
The availability of Very High Resolution (VHR) satellite imagery in meter or sub-meter level is helpful and promising in the information extraction of slum areas based on object-oriented techniques. This paper aims to determine the feasibility of using VHR orthophotos (0.6 meter pixels) to create an accurate inventory of buildings
Abdulla - Al Kafy - Urban Planner & Project Officer ...
needed to be decentralized for sustainable urban growth of the city. The main objective of the study is to develop a sustainable “Town Center” which will cover major multi-functioning features of sustainable urban development ensuring ecological protection, equitable housing, and livable community through zoning pattern.
Remote Sensing | Special Issue : Object Based Image ...
Object-based image analysis (OBIA) is better than pixel-based image analysis for change detection (CD) in very high-resolution (VHR) remote sensing images. Although the effectiveness of deep learning approaches has recently been proved, few studies have investigated OBIA and deep learning for CD.
3-D Digital Modelling using Multi-Spectral Remote Sensing ...
resolution multiple-date imagery data fusion, high precision DTM generation and the processing of mosaicked imagery. There are wide prospects to use the 3-D visualization of remote sensing images models for urban landscape resources exploration, urban expansion and such other kinds for urban mapping and planning....
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