Classification of IRS LISS-III images using PNN

Keywords

Probabilistic neural network, Confusion matrix, Artificial neural network, Cohen's kappa, Contextual image classification

References

• Land Cover Classification Using IRS-1D Data and a Decision Tree ClassifierHamidreza Keshtkar, H. Azarnivand, H Arzani — 2012
• Multispectral, hyperspectral, and ultraspectral remote sensing technology, techniques, and applications : 13-16 November 2006, Goa, IndiaWilliam L. Smith — 2006
• Classification of IRS LISS-III Images by using Artificial Neural NetworksMadhu Bala Myneni, Sushma Rao, G. Ravindra Babu — 2010
• Supervised Classification Performance of Multispectral ImagesK. Perumal, R. Bhaskaran — 2010
• Probabilistic neural networksDonald F. Specht — 1990
• Efficient Intrusion Detection Based on Multiple Neural Network Classifiers with Improved Genetic AlgorithmGu Yue-sheng, Yongchang Shi, Jianping Wang — 2012
• Relative Radiometric Correction of Multitemporal Satellite Imagery Using Fourier and Wavelet TransformSeema Gore Biday, Udhav Bhosle — 2012
• Biodiversity Characterization in Nubra Valley, Ladakh with Special Reference to Plant Resource Conservation and BioprospectingP. K. Joshi, G. S. Rawat, H. Padilya — 2006
• Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and ApplicationsWilliam L. Smith, Allen M. Larar, Tadao Aoki — 2006
• Support vector machines in remote sensing: A reviewGiorgos Mountrakis, Jungho Im, Caesar Ogole — 2011
• OF PURE AND APPLIED RESEARCH IN ENGINEERING ANDDR. S. K MR. ANAND UPADHYAY, D. Singh, Varsha Turkar
• Use of Multi-Source Data Sets for Land Use/Land Cover Classification in a Hilly Terrain for Landslide StudyD. P. Kanungo, S. Sarkar — 2011
• Alarming rise in groundwater levels beneath the city of Jodhpur: an example of ground and surface water interaction in the Thar Desert of western IndiaB. Baghela — 2007

Cited by

• Image Object Classification and Identification using Soft Computing Tolls: A ReviewNayan Usulkar, Vidhi Desai, Anil B. Gavade — 2015
• Vegetation extraction based on spectral deviations using an IRS-1C LISS III imageRubina Parveen, Subhash Kulkarni, V. D. Mytri — 2016
• The Vegetation Extraction and Hierarchical Classification using an IRS-1C LISS III ImageRubina Parveen, Subhash Kulkarni, Hima Deepthi Vankayalapati — 2016
• Extraction and delineation of water bodies from IRS-1C LISS III imageryRubina Parveen, Subhash Kulkarni, V. D. Mytri — 2016
• Low level vision processing and vegetation extraction using IRS-1C LISS III imageRubina Parveen, Subhash Kulkarni, V. D. Mytri — 2016
• Evaluation of Prescribed Fires from Unmanned Aerial Vehicles (UAVs) Imagery and Machine Learning AlgorithmsLuis A. Pérez-Rodríguez, Carmen Quintano, Elena Marcos — 2020
• KNN-Based Classification and Comparative Study of Multispectral LISS-III Satellite ImageA. Upadhyay, Dhwani Upadhyay, Axali Gundaraniya — 2020
• An approach for vegetation mapping and pixel-based change detection for IRS-1C LISS III dataRubina Parveen, S. Kulkarni, V. D. Mytri — 2017

Related papers

• Integration of neural network and statistical image classification for land cover mappingI. Kanellopoulos, G.G. Wilkinson, J. Mégier — 1993
• Improving neural network performance for remote-sensing image classificationChing Zhang — 1993
• Competitive artificial neural network for change-detection of land cover: an unsupervised approachM.L.F. Velloso, Margareth Simões, Thales Ávila Carneiro — 2002
• A method of detecting land use change of remote sensing images based on texture features and DEMDongming Huang, Chuntao Wei, Jun-chen Yu — 2015
• Application of Self-organizing Artificial Neural Network in Remote Sensing Image ClassificationChen Yao — 2006
• Ensembles of Neural Networks for Soft Classification of Remote Sensing ImagesGiorgio Giacinto, Fabio Roli — 1997
• Neural network parameters affecting image classificationK. C. Tiwari — 2001
• Comparative Analysis of Neural Networks and Statistical Approaches to Remote Sensing Image ClassificationNataliia Kussul, Sergii Skakun, Olga Kussul — 2006
• Multispectral image classification based on neural network ensemblesXiaoyang Fu — 2016