COMPARATIVE STUDY OF OBJECT BASED IMAGE ANALYSIS ON HIGH RESOLUTION SATELLITE IMAGES FOR URBAN DEVELOPMENT

No abstract is available for this paper.

• Publication year

  2015

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Geography, Engineering, Environmental Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Seasonal Variation in Spectral Signatures of Five Genera of Rainforest Trees

  2013cited by this paper
• Non-Parametric Object-Based Approaches to Carry Out ISA Classification From Archival Aerial Orthoimages

  2013cited by this paper
• Object-based analysis of WorldView-2 imagery of urban areas

  2012cited by this paper
• Object-Based Image Analysis of High-Resolution Satellite Images Using Modified Cloud Basis Function Neural Network and Probabilistic Relaxation Labeling Process

  2011cited by this paper
• Improving the Accuracy of Object Based Supervised Image Classification using Cloud Basis Function Neural Network for High Resolution Satellite Images

  2010cited by this paper
• Comparison of CBF, ANN and SVM classifiers for object based classification of high resolution satellite images

  2010cited by this paper
• OBJECT-BASED CLASSIFICATION VS . PIXEL-BASED CLASSIFICATION : COMPARITIVE IMPORTANCE OF MULTI-RESOLUTION IMAGERY

  2010cited by this paper
• An object‐oriented approach for analysing and characterizing urban landscape at the parcel level

  2008cited by this paper
• An Object-oriented Approach to Urban Forest Mapping in Phoenix

  2007cited by this paper
• Detecting urban vegetation from IKONOS data using an object-oriented approach

  2005cited by this paper
• A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas

  2003cited by this paper

• Human cognition based framework for detecting roads from remote sensing images

  2020cites this paper
• Automated Extraction of Slum Built-up Areas from Multispectral Imageries

  2019cites this paper
• International Journal of Recent Technology and Engineering (IJRTE)

  2019cites this paper
• COMPARISON OF PIXEL AND OBJECT-BASED CLASSIFICATION TECHNIQUES FOR GLACIER FACIES EXTRACTION

  2018cites this paper
• A Critical Review of High and Very High-Resolution Remote Sensing Approaches for Detecting and Mapping Slums: Trends, Challenges and Emerging Opportunities

  2018cites this paper
• Comparative analysis of object based and pixel based classification for mapping of mango orchards in Sitapur district of Uttar Pradesh

  2018cites this paper
• TITLE Spatio-Temporal Analysis of Land Cover Change in the Perspective of Modelling Land Uses : a case study in Kavango East , Namibia

  2018cites this paper
• Vegetation role in controlling the ecoenvironmental conditions for sustainable urban environments: a comparison of Beijing and Islamabad

  2018cites this paper
• A Novel Classifier Ensample for Combining Pixel-Based and Object Based Classification Methods for Improving Feature Extraction from LIDAR Intensity Data and LIDAR Derived Layers

  2018influential citation
• Dynamics of resource utilisation in a tropical wetland, Yala swamp, Lake Victoria basin- Statistical analysis of land use change

  2017cites this paper