Integrating the third dimension into the concept of urban ecosystem services: A review
The spatial configuration of urban environments and its impact on local and global
ecological functions were the subject of recent urban ecosystem service (UES) research …
ecological functions were the subject of recent urban ecosystem service (UES) research …
Object-based greenhouse classification from GeoEye-1 and WorldView-2 stereo imagery
Remote sensing technologies have been commonly used to perform greenhouse detection
and mapping. In this research, stereo pairs acquired by very high-resolution optical satellites …
and mapping. In this research, stereo pairs acquired by very high-resolution optical satellites …
Solid waste bin detection and classification using Dynamic Time Warping and MLP classifier
The increasing requirement for Solid Waste Management (SWM) has become a significant
challenge for municipal authorities. A number of integrated systems and methods have …
challenge for municipal authorities. A number of integrated systems and methods have …
Optimum Scale in Object‐Based Image Analysis
This chapter reviews the recent publications in object‐based image analysis (OBIA) and
examines the use of scales in those publications. It focuses on scale optimization and …
examines the use of scales in those publications. It focuses on scale optimization and …
Road network extraction from VHR satellite images using context aware object feature integration and tensor voting
Road networks are very important features in geospatial databases. Even though high-
resolution optical satellite images have already been acquired for more than a decade, tools …
resolution optical satellite images have already been acquired for more than a decade, tools …
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents
A Troya-Galvis, P Gançarski, L Berti-Équille - Pattern Recognition, 2018 - Elsevier
In this article we present two different approaches for automatic remote sensing image
interpretation which are based on a multi-paradigm collaborative framework which uses …
interpretation which are based on a multi-paradigm collaborative framework which uses …
Object-based road extraction from satellite images using ant colony optimization
Increasing demands for up-to-date road network and the availability of very-high-resolution
(VHR) satellite images as well as the popularity of high-speed computers provide motivation …
(VHR) satellite images as well as the popularity of high-speed computers provide motivation …
Object-based wetland characterization using radarsat-2 quad-polarimetric SAR data, landsat-8 OLI imagery, and airborne lidar-derived geomorphometric variables
SE Franklin, OS Ahmed - Photogrammetric Engineering & …, 2017 - ingentaconnect.com
The goal of this research was to classify four wetland types in the Hudson Bay Lowlands in
northern Canada using Radarsat-2 quad-polarization and Landsat-8 satellite sensor data …
northern Canada using Radarsat-2 quad-polarization and Landsat-8 satellite sensor data …
Multi-agent hyperspectral and lidar features fusion for urban vegetation mapping
S Khoramak, FT Mahmoudi - Earth Science Informatics, 2023 - Springer
Urban vegetation recognition based on remote sensing data is highly affected by the
complexities of urban areas due to the existence of various kinds of objects and their …
complexities of urban areas due to the existence of various kinds of objects and their …
Towards a framework for agent-based image analysis of remote-sensing data
P Hofmann, P Lettmayer, T Blaschke… - … Journal of Image and …, 2015 - Taylor & Francis
Object-based image analysis (OBIA) as a paradigm for analysing remotely sensed image
data has in many cases led to spatially and thematically improved classification results in …
data has in many cases led to spatially and thematically improved classification results in …