A new spectral and spatial framework for detecting buildings with special roofing in hyperspectral images

Author:

Akbari Davood

Funder

University of Zabol

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences

Reference37 articles.

1. Improving spectral-spatial classification of hyperspectral imagery by using extended minimum spanning forest algorithm;Akbari;Can. J. Remote Sens.,2020

2. Akbari, D., Saadatseresht, M., Homayouni, S., 2008. Evaluation of Different Hyperspectral Image Detection Methods. The 29th Asian Conference on Remote Sensing, Colombo, Sri Lanka.

3. A combination of spectral-spatial detection methods of hyperspectral images for the better separation of special buildings' roofs in urban area;Akbari;J. Geomatics Sci. Techno.,2014

4. Akbari, D. 2017. A New Spectral-Spatial Framework for Classification of Hyperspectral Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, GGT 2017, Kuala Lumpur, Malaysia.

5. An overview of AVIRIS-NG airborne hyperspectral science campaign over India;Bhattacharya;Curr. Sci.,2019

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1. Multi-branch stacking remote sensing image target detection based on YOLOv5;The Egyptian Journal of Remote Sensing and Space Sciences;2023-12

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