NDLI: Fast active learning for hyperspectral image classification using extreme learning machine

Content Provider	IET Digital Library
Author	Pradhan, Monoj K. Minz, Sonajharia Shrivastava, Vimal K.
Abstract	Owing to undulating and complexity of the earth's surface, obtaining the training samples for remote sensing data is time-consuming and expensive. Therefore, it is highly desirable to design a model that uses as few labelled samples as possible and reducing the computational time. Several active learning (AL) algorithms have been proposed in the literature for the classification of hyperspectral images (HSIs). However, its performance in terms of computational time has not been focused yet. Here, the authors have proposed AL approach based on extreme learning machine (ELM) that effectively decreases the computational time while maintaining the classification accuracy. Further, the effectiveness of the proposed approach has been depicted by comparing its performance with state-of-the-art AL algorithms in terms of classification accuracy and computational time as well. The ELM-based AL with different query strategies were conducted on two HSI data sets. The proposed approach achieves the classification accuracy up to 90% which is comparable to support vector machine-based AL approach but effectively reduces the computational time significantly by 1000 times. Thus, the proposed system shows the encouraging results with adequate classification accuracy while reducing the computation time drastically.
Starting Page	549
Ending Page	555
Page Count	7
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 4, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5104
Journal	IET Image Processing
Publisher Date	2018-11-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Learning Algorithm Computation Time Reduction Computational Time Reduction Computer Vision And Image Processing Technique Data And Information; Acquisition, Processing, Storage And Dissemination in Geophysics ELM-based AL Algorithm Extreme Learning Machine Fast Active Learning Geophysical Image Processing Geophysical Technique And Equipment Geophysics Computing HSI Data Sets Hyperspectral Image Hyperspectral Image Classification Image Classification Image Recognition Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Knowledge Engineering Technique Learning in AI Query Strategy Remote Sensing Remote Sensing Data
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Spectral–spatial classification of hyperspectral remote sensing image based on capsule network

Fuzzy multiclass active learning for hyperspectral image classification

Convolutional neural network in network (CNNiN): hyperspectral image classification and dimensionality reduction

Hyperspectral Image Classification Based on Unsupervised Heterogeneous Domain Adaptation CycleGan

Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images

Fast HSI super resolution using linear regression

Compressed spatial–spectral feature representation for hyperspectral ground classification

Target detection of hyperspectral image based on spectral saliency

Fast active learning for hyperspectral image classification using extreme learning machine

Similar Documents

Spectral–spatial classification of hyperspectral remote sensing image based on capsule network

Fuzzy multiclass active learning for hyperspectral image classification

Convolutional neural network in network (CNNiN): hyperspectral image classification and dimensionality reduction

Hyperspectral Image Classification Based on Unsupervised Heterogeneous Domain Adaptation CycleGan

Empirical study of neighbourhood rough sets based band selection techniques for classification of hyperspectral images

Dimensionality reduction based on determinantal point process and singular spectrum analysis for hyperspectral images

Fast HSI super resolution using linear regression

Compressed spatial–spectral feature representation for hyperspectral ground classification

Target detection of hyperspectral image based on spectral saliency

Fast active learning for hyperspectral image classification using extreme learning machine