Improving Landsat and IRS Image Classification: Evaluation of Unsupervised and Supervised Classification through Band Ratios and DEM in a Mountainous Landscape in Nepal

Author： Bahadur K.C. Krishna  

Publisher： MDPI

E-ISSN： 2072-4292|1|4|1257-1272

ISSN： 2072-4292

Source： Remote Sensing, Vol.1, Iss.4, 2009-12, pp. : 1257-1272

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Band Subset Selection for Hyperspectral Image Classification

By Yu Chunyan   Song Meiping   Chang Chein-I  

Remote Sensing, Vol. 10, Iss. 1, 2018-01 ,pp. : 113-113

MDPI

Access to resources Recommend Favorite

Supervised Classification of Agricultural Land Cover Using a Modified k-NN Technique (MNN) and Landsat Remote Sensing Imagery

By Samaniego Luis   Schulz Karsten  

Remote Sensing, Vol. 1, Iss. 4, 2009-11 ,pp. : 875-895

MDPI

Access to resources Recommend Favorite

Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data Using Post-Classification Enhancement

By Manandhar Ramita   Odeh Inakwu O. A.   Ancev Tiho  

Remote Sensing, Vol. 1, Iss. 3, 2009-07 ,pp. : 330-344

MDPI

Access to resources Recommend Favorite

Tree Species Abundance Predictions in a Tropical Agricultural Landscape with a Supervised Classification Model and Imbalanced Data

By Graves Sarah J.   Asner Gregory P.   Martin Roberta E.   Anderson Christopher B.   Colgan Matthew S.   Kalantari Leila   Bohlman Stephanie A.  

Remote Sensing, Vol. 8, Iss. 2, 2016-02 ,pp. : 161-161

MDPI

Access to resources Recommend Favorite

Geodesic Flow Kernel Support Vector Machine for Hyperspectral Image Classification by Unsupervised Subspace Feature Transfer

By Samat Alim   Gamba Paolo   Abuduwaili Jilili   Liu Sicong   Miao Zelang  

Remote Sensing, Vol. 8, Iss. 3, 2016-03 ,pp. : 234-234

MDPI

Access to resources Recommend Favorite