Assessing Texture Features to Classify Coastal Wetland Vegetation from High Spatial Resolution Imagery Using Completed Local Binary Patterns (CLBP)

Predicting Vascular Plant Richness in a Heterogeneous Wetland Using Spectral and Textural Features and a Random Forest Algorithm

(2016) Julian Cabezas et al.   IEEE Geoscience and Remote Sensing Letters

Classifying spatially heterogeneous wetland communities using machine learning algorithms and spectral and textural features

(2015) Zoltan Szantoi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A novel texture feature based multiple classifier technique for roadside vegetation classification

(2015) Sujan Chowdhury et al.   EXPERT SYSTEMS WITH APPLICATIONS

High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

(2012) Onisimo Mutanga et al.   International Journal of Applied Earth Observation and Geoinformation

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

A Completed Modeling of Local Binary Pattern Operator for Texture Classification

(2010) Zhenhua Guo et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Utilizing image texture to detect land-cover change in Mediterranean coastal wetlands

(2010) S. Berberoğlu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Analyzing coastal wetland change in the Yancheng National Nature Reserve, China

(2010) Chang-Qing Ke et al.   Regional Environmental Change

Habitat Changes for Breeding Waterbirds in Yancheng National Nature Reserve, China: A Remote Sensing Study

(2010) Chunyue Liu et al.   WETLANDS