Machine learning on high performance computing for urban greenspace change detection: satellite image data fusion approach-Reference-Cited by-同舟云学术

Machine learning on high performance computing for urban greenspace change detection: satellite image data fusion approach

Published:2020-04-10 Issue:3 Volume:11 Page:218-232
ISSN:1947-9832
Container-title:International Journal of Image and Data Fusion
language:en
Short-container-title:International Journal of Image and Data Fusion

Author:

More Nilkamal¹,Nikam V. B.¹,Banerjee Biplab²

Affiliation:

1. Department of Computer Engineering, Veermata Jijabai Technological Insitute, Mumbai, India

2. Center of Studies in Resources Engineering, IIT Bombay, Mumbai, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/19479832.2020.1749142

Reference32 articles.

1. Adesuyi, A.S., 2016. Automating land cover classification using time series NDVI: a case study in the berg river catchment area. Doctoral dissertation. Stellenbosch: Stellenbosch University.

2. A Novel Semi-Supervised Land Cover Classification Technique of Remotely Sensed Images

3. A review of vegetation indices

4. A Multi-Criteria Evaluation of Green Spaces in European Cities

5. SVM Classification of High Resolution Urban Satellites Images using Composite Kernels and Haralick Features

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