Classification of Plants by Using Hyperspectral Data

Urban Land Cover Classification Using Hyperspectral Data

Urban land cover classification using remote sensing data is quite challenging due to spectrally and spatially complex urban features. The present study describes the potential use of hyperspectral data for urban land cover classification and its comparison with multispectral data. EO-1 Hyperion data of October 05, 2012 covering parts of Bengaluru city was analyzed for land cover classification...

Hyperspectral Data Classification Using Factor Graphs

Accurate classification of hyperspectral data is still a competitive task and new classification methods are developed to achieve desired tasks of hyperspectral data use. The objective of this paper is to develop a new method for hyperspectral data classification ensuring the classification model properties like transferability, generalization, probabilistic interpretation, etc. While factor gr...

Classification of Hyperspectral Data using Best-bases Feature Extraction Algorithms

Classification and Model Evaluation Using Hyperspectral Data of Vegetative Landscape

Species classification is an important task when it comes to the study of specific areas without disrupting the ecosystem. In this paper we chose Indian Pines as the test site to classify it into 16 classes of tree species and compare them with ground truth to obtain the accuracy, using various algorithms with machine learning process. The algorithms used are LDA and SVM. Spectral features of t...

Classification of hyperspectral data using support vector machine

A new spectral-spatial classification scheme for hyperspectral images is presented. Pixel-wise Support Vector Machines classification and segmentation are performed independently, and then the results are combined, using the majority vote approach. Thus, every region from a segmentation map defines an adaptive neighborhood for all the pixels within this region. The use of several segmentation t...