Progressive Cascaded Convolutional Neural Networks for Single Tree Detection with Google Earth Imagery
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Jing Fan | Jian Zhang | Tianyang Dong | Yang Ye | Yuqi Shen | Jian Zhang | Tianyang Dong | Jing Fan | Yang Ye | Yuqi Shen
[1] Darius S. Culvenor,et al. TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery , 2002 .
[2] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[3] Xiaqing Wu,et al. Tree detection from aerial imagery , 2009, GIS.
[4] Leena Matikainen,et al. An Object-Based Approach for Mapping Shrub and Tree Cover on Grassland Habitats by Use of LiDAR and CIR Orthoimages , 2013, Remote. Sens..
[5] G. Foody. Thematic map comparison: Evaluating the statistical significance of differences in classification accuracy , 2004 .
[6] Tara N. Sainath,et al. FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597 , 2012 .
[7] Mats Erikson. Two preprocessing techniques based on grey level and geometric thickness to improve segmentation results , 2006, Pattern Recognit. Lett..
[8] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Jan Novotný,et al. INDIVIDUAL TREE CROWNS DELINEATION USING LOCAL MAXIMA APPROACH AND SEEDED REGION GROWING TECHNIQUE , 2011 .
[10] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[11] J. Rogan,et al. Remote sensing for mapping and monitoring land-cover and land-use change—an introduction , 2004 .
[12] Xiao Xiang Zhu,et al. Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources , 2017, IEEE Geoscience and Remote Sensing Magazine.
[13] Tara N. Sainath,et al. Deep convolutional neural networks for LVCSR , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[14] Russell G. Congalton,et al. Global Land Cover Mapping: A Review and Uncertainty Analysis , 2014, Remote. Sens..
[15] A. Rango,et al. Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico , 2004 .
[16] Robert J. Woodham,et al. The automatic recognition of individual trees in aerial images of forests based on a synthetic tree crown image model , 1996 .
[17] Weijia Li,et al. Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images , 2016, Remote. Sens..
[18] M. J. Tarp-Johansen,et al. Automatic Stem Mapping in Three Dimensions by Template Matching from Aerial Photographs , 2002 .
[19] Douglas J. King,et al. Automated tree crown detection and delineation in high-resolution digital camera imagery of coniferous forest regeneration , 2002 .
[20] Naif Alajlan,et al. Efficient Framework for Palm Tree Detection in UAV Images , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[21] Anelia Angelova,et al. Real-Time Pedestrian Detection with Deep Network Cascades , 2015, BMVC.
[22] Francisco Herrera,et al. Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study , 2017, Remote. Sens..
[23] Morten Larsen,et al. Optimizing templates for finding trees in aerial photographs , 1998, Pattern Recognit. Lett..
[24] Francisco Herrera,et al. On the use of convolutional neural networks for robust classification of multiple fingerprint captures , 2017, Int. J. Intell. Syst..
[25] Stephen V. Stehman,et al. Agent-based region growing for individual tree crown delineation from airborne laser scanning (ALS) data , 2015 .
[26] James J. Little,et al. Light Cascaded Convolutional Neural Networks for Accurate Player Detection , 2017, BMVC.
[27] Yuan Yu,et al. TensorFlow: A system for large-scale machine learning , 2016, OSDI.
[28] D. King,et al. Image modelling of forest changes associated with acid mine drainage , 1999 .
[29] Siham Tabik,et al. A snapshot of image pre-processing for convolutional neural networks: case study of MNIST , 2017, Int. J. Comput. Intell. Syst..
[30] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[31] Mathias Schardt,et al. Single tree detection in very high resolution remote sensing data , 2007 .