Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images

An object-based SVM method incorporating optimal segmentation scale estimation using Bhattacharyya Distance for mapping salt cedar (Tamarisk spp.) with QuickBird imagery

(2015) Lu Xun et al.   GIScience & Remote Sensing

Evaluation of Atmospheric Correction Methods in Identifying Urban Tree Species With WorldView-2 Imagery

(2015) Ruiliang Pu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study

(2015) Moses Azong Cho et al.   International Journal of Applied Earth Observation and Geoinformation

Assessment of multi-temporal, multi-sensor radar and ancillary spatial data for grasslands monitoring in Ireland using machine learning approaches

(2014) Brian Barrett et al.   REMOTE SENSING OF ENVIRONMENT

Detection of Alteration Induced by Onshore Gas Seeps from ASTER and WorldView-2 Data

(2014) Sanaz Salati et al.   Remote Sensing

Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality

(2014) Lars Waser et al.   Remote Sensing

Modeled PM2.5 removal by trees in ten U.S. cities and associated health effects

(2013) David J. Nowak et al.   ENVIRONMENTAL POLLUTION

Shadow Detection and Reconstruction in High-Resolution Satellite Images via Morphological Filtering and Example-Based Learning

(2013) Huihui Song et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Exploiting machine learning algorithms for tree species classification in a semiarid woodland using RapidEye image

(2013) Samuel Adelabu et al.   Journal of Applied Remote Sensing

Urban vegetation classification: Benefits of multitemporal RapidEye satellite data

(2013) Jan Tigges et al.   REMOTE SENSING OF ENVIRONMENT

A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species

(2012) Ruiliang Pu et al.   REMOTE SENSING OF ENVIRONMENT

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Mapping of hyperspectral AVIRIS data using machine-learning algorithms

(2011) Björn Waske et al.   CANADIAN JOURNAL OF REMOTE SENSING

Urban forests and pollution mitigation: Analyzing ecosystem services and disservices

(2011) Francisco J. Escobedo et al.   ENVIRONMENTAL POLLUTION

An assessment of the effectiveness of a random forest classifier for land-cover classification

(2011) V.F. Rodriguez-Galiano et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Mapping an urban ecosystem service: quantifying above-ground carbon storage at a city-wide scale

(2011) Zoe G. Davies et al.   JOURNAL OF APPLIED ECOLOGY

Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

(2011) Soe W. Myint et al.   REMOTE SENSING OF ENVIRONMENT

A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery

(2011) Dennis C. Duro et al.   REMOTE SENSING OF ENVIRONMENT

Forest Cover Classification by Optimal Segmentation of High Resolution Satellite Imagery

(2011) So-Ra Kim et al.   SENSORS

An Object-Based Classification of Mangroves Using a Hybrid Decision Tree—Support Vector Machine Approach

(2011) Benjamin W. Heumann   Remote Sensing

Machine Learning Comparison between WorldView-2 and QuickBird-2-Simulated Imagery Regarding Object-Based Urban Land Cover Classification

(2011) Tessio Novack et al.   Remote Sensing

Synergistic use of QuickBird multispectral imagery and LIDAR data for object-based forest species classification

(2010) Yinghai Ke et al.   REMOTE SENSING OF ENVIRONMENT

Mapping tree species in temperate deciduous woodland using time-series multi-spectral data

(2009) R. A. Hill et al.   APPLIED VEGETATION SCIENCE

A kernel functions analysis for support vector machines for land cover classification

(2009) T. Kavzoglu et al.   International Journal of Applied Earth Observation and Geoinformation

Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study

(2009) Weiqi Zhou et al.   REMOTE SENSING OF ENVIRONMENT

Object-Based Land Cover Classification Using High-Posting-Density LiDAR Data

(2008) Jungho Im et al.   GIScience & Remote Sensing