Delineation of Crop Field Areas and Boundaries from UAS Imagery Using PBIA and GEOBIA with Random Forest Classification

[1]  Jinfei Wang,et al.  Delineation of Bare Soil Field Areas from Unmanned Aircraft System Imagery with the Mean Shift Unsupervised Clustering and the Random Forest Supervised Classification , 2020, Canadian Journal of Remote Sensing.

[2]  Thomas Blaschke,et al.  Object based image analysis for remote sensing , 2010 .

[3]  Tao Liu,et al.  Deep convolutional neural network training enrichment using multi-view object-based analysis of Unmanned Aerial systems imagery for wetlands classification , 2018 .

[4]  Jorge Torres-Sánchez,et al.  An Automatic Random Forest-OBIA Algorithm for Early Weed Mapping between and within Crop Rows Using UAV Imagery , 2018, Remote. Sens..

[5]  Tingxi Liu,et al.  Multi-Spectral Image Classification Based on an Object-Based Active Learning Approach , 2020, Remote. Sens..

[6]  Chunhua Zhang,et al.  The application of small unmanned aerial systems for precision agriculture: a review , 2012, Precision Agriculture.

[7]  Rohan Bennett,et al.  A procedure for semi-automated cadastral boundary feature extraction from high-resolution satellite imagery , 2018 .

[8]  Michael Ying Yang,et al.  Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery , 2019, Remote. Sens..

[9]  Krištof Oštir,et al.  Extraction of Visible Boundaries for Cadastral Mapping Based on UAV Imagery , 2019, Remote. Sens..

[10]  Helmi Zulhaidi Mohd Shafri,et al.  Detailed intra-urban mapping through transferable OBIA rule sets using WorldView-2 very-high-resolution satellite images , 2015 .

[11]  Jorge Torres-Sánchez,et al.  An automatic object-based method for optimal thresholding in UAV images: Application for vegetation detection in herbaceous crops , 2015, Comput. Electron. Agric..

[12]  Mariana Belgiu,et al.  Random forest in remote sensing: A review of applications and future directions , 2016 .

[13]  F. López-Granados,et al.  Weed Mapping in Early-Season Maize Fields Using Object-Based Analysis of Unmanned Aerial Vehicle (UAV) Images , 2013, PloS one.

[14]  Jizhong Deng,et al.  Deep learning versus Object-based Image Analysis (OBIA) in weed mapping of UAV imagery , 2020 .

[15]  John Ray Bergado,et al.  Delineation of agricultural fields in smallholder farms from satellite images using fully convolutional networks and combinatorial grouping , 2019, Remote sensing of environment.

[16]  Jordan Graesser,et al.  Detection of cropland field parcels from Landsat imagery , 2017 .

[17]  Rubens A. C. Lamparelli,et al.  Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images , 2017, Comput. Electron. Agric..

[18]  Russell G. Congalton,et al.  A review of assessing the accuracy of classifications of remotely sensed data , 1991 .

[19]  U. Benz,et al.  Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information , 2004 .

[20]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[21]  E. LeDrew,et al.  Remote sensing of aquatic coastal ecosystem processes , 2006 .

[22]  Christopher D. Elvidge,et al.  Comparison of relative radiometric normalization techniques , 1996 .

[23]  L. Durieux,et al.  Advances in Geographic Object-Based Image Analysis with ontologies: A review of main contributions and limitations from a remote sensing perspective , 2013 .

[24]  Giuseppe Modica,et al.  Object-Based Land Cover Classification of Cork Oak Woodlands using UAV Imagery and Orfeo ToolBox , 2019, Remote. Sens..

[25]  Paul F. Hessburg,et al.  Mapcurves: a quantitative method for comparing categorical maps , 2006, J. Geogr. Syst..

[26]  Leo Breiman,et al.  Random Forests , 2001, Machine Learning.

[27]  A. Rango,et al.  Image Processing and Classification Procedures for Analysis of Sub-decimeter Imagery Acquired with an Unmanned Aircraft over Arid Rangelands , 2011 .

[28]  Peijun Du,et al.  A review of supervised object-based land-cover image classification , 2017 .

[29]  Julien Michel,et al.  Orfeo ToolBox: open source processing of remote sensing images , 2017, Open Geospatial Data, Software and Standards.

[30]  Andreas Kamilaris,et al.  A review on the practice of big data analysis in agriculture , 2017, Comput. Electron. Agric..

[31]  Thomas Blaschke,et al.  Geographic Object-Based Image Analysis – Towards a new paradigm , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.