Comparison of Supervised Classification Techniques for High-Resolution Optical Aerial Image

2018 International Conference on Automation and Computational Engineering (ICACE) ◽

10.1109/icace.2018.8687005 ◽

2018 ◽

Cited By ~ 2

Author(s):

Amit Kumar Shakya ◽

Ayushman Ramola ◽

Kunal Sawant ◽

Akhilesh Kandwal

Keyword(s):

High Resolution ◽

Supervised Classification ◽

Aerial Image ◽

Classification Techniques

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Classification Techniques Of High Resolution Aerial Images: A Survey Of Commonly A.I Techniques

10.36458/1253-000-032-014 ◽

2018 ◽

pp. 304

Author(s):

نداء فليح حسن ◽

علي صبار محسن

Keyword(s):

High Resolution ◽

Aerial Images ◽

Classification Techniques

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Crop mapping by supervised classification of high resolution optical image time series using prior knowledge about crop rotation and topography

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS ◽

10.1109/igarss.2013.6723414 ◽

2013 ◽

Author(s):

Julien Osman ◽

Jordi Inglada ◽

Jean-Francois Dejoux ◽

Olivier Hagolle ◽

Gerard Dedieu

Keyword(s):

Time Series ◽

High Resolution ◽

Prior Knowledge ◽

Crop Rotation ◽

Supervised Classification ◽

Optical Image ◽

Crop Mapping

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Object-based feature extraction and semi-supervised classification for urban change detection using high-resolution remote sensing images

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2015.7326108 ◽

2015 ◽

Author(s):

Bin Hou ◽

Qingjie Liu ◽

Yunhong Wang

Keyword(s):

Remote Sensing ◽

Feature Extraction ◽

High Resolution ◽

Change Detection ◽

Supervised Classification ◽

Urban Change ◽

Remote Sensing Images ◽

Object Based

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A Generalized Image Scene Decomposition-Based System for Supervised Classification of Very High Resolution Remote Sensing Imagery

Remote Sensing ◽

10.3390/rs8100814 ◽

2016 ◽

Vol 8 (10) ◽

pp. 814 ◽

Cited By ~ 4

Author(s):

ZhiYong Lv ◽

Haiqing He ◽

Jón Benediktsson ◽

Hong Huang

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Supervised Classification ◽

Remote Sensing Imagery ◽

Very High

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A multi-band watershed segmentation method for individual tree crown delineation from high resolution multispectral aerial image

2014 IEEE Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2014.6945949 ◽

2014 ◽

Cited By ~ 5

Author(s):

Jian Yang ◽

Yuhong He ◽

John Caspersen

Keyword(s):

High Resolution ◽

Aerial Image ◽

Segmentation Method ◽

Watershed Segmentation ◽

Tree Crown ◽

Individual Tree ◽

Crown Delineation ◽

Tree Crown Delineation ◽

Multi Band

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Supervised Classification Techniques

Remote Sensing Digital Image Analysis ◽

10.1007/3-540-29711-1_8 ◽

2005 ◽

pp. 193-247 ◽

Cited By ~ 1

Keyword(s):

Supervised Classification ◽

Classification Techniques

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Real Time Record Method for High Resolution Aerial Image

ACTA PHOTONICA SINICA ◽

10.3788/gzxb20103905.0951 ◽

2010 ◽

Vol 39 (5) ◽

pp. 951-955

Author(s):

曾峦 ZENG Luan ◽

赵忠文 ZHAO Zhong-wen ◽

谭久彬 TAN Jiu-bin

Keyword(s):

High Resolution ◽

Real Time ◽

Aerial Image ◽

Time Record

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Supervised classification techniques for prediction of mortality in adult patients with sepsis

The American Journal of Emergency Medicine ◽

10.1016/j.ajem.2020.09.013 ◽

2020 ◽

Author(s):

Andrés Rodríguez ◽

Deibie Mendoza ◽

Johana Ascuntar ◽

Fabián Jaimes

Keyword(s):

Supervised Classification ◽

Adult Patients ◽

Classification Techniques ◽

Prediction Of Mortality

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Graph-based semi-supervised classification on very high resolution remote sensing images

International Journal of Big Data Intelligence ◽

10.1504/ijbdi.2017.083130 ◽

2017 ◽

Vol 4 (2) ◽

pp. 108 ◽

Cited By ~ 3

Author(s):

Yupeng Yan ◽

Manu Sethi ◽

Anand Rangarajan ◽

Ranga Raju Vatsavai ◽

Sanjay Ranka

Keyword(s):

Remote Sensing ◽

High Resolution ◽

Supervised Classification ◽

Remote Sensing Images ◽

Very High

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Batch-Mode Active Learning-Based Superpixel Library Generation for Very High-Resolution Aerial Image Classification

Advances in Intelligent Systems and Computing - Computational Intelligence: Theories, Applications and Future Directions - Volume II ◽

10.1007/978-981-13-1135-2_24 ◽

2018 ◽

pp. 307-318

Author(s):

Rajeswari Balasubramaniam ◽

Srivalsan Namboodiri ◽

Gorthi. R. K. Sai Subrahmanyam ◽

Rama Rao Nidamanuri

Keyword(s):

High Resolution ◽

Active Learning ◽

Image Classification ◽

Aerial Image ◽

Batch Mode ◽

Very High

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