Research progress on models, algorithms, and systems for remote sensing spatial-temporal big data processing

Y Liu, L Dang, S Li, K Cai, X Zuo - IEEE journal of selected …, 2021 - ieeexplore.ieee.org
With the rapid development of high-resolution earth observation systems, the data
processing, algorithm design, and system development of remote sensing spatial-temporal …

A study of a clothing image segmentation method in complex conditions using a features fusion model

J Zhang, C Liu - Automatika, 2020 - Taylor & Francis
According to a priori knowledge in complex conditions, this paper proposes an
unsupervised image segmentation algorithm to be used for clothing images that combines …

Wildfire Detection Using Convolutional Neural Networks and PRISMA Hyperspectral Imagery: A Spatial-Spectral Analysis

D Spiller, A Carbone, S Amici, K Thangavel… - Remote Sensing, 2023 - mdpi.com
The exacerbation of wildfires, attributed to the effects of climate change, presents substantial
risks to ecological systems, infrastructure, and human well-being. In the context of the …

Computational intelligence in remote sensing: An editorial

M Graña, M Wozniak, S Rios, J de Lope - Sensors, 2020 - mdpi.com
Computational intelligence is a very active and fruitful research of artificial intelligence with a
broad spectrum of applications. Remote sensing data has been a salient field of application …

Study of Extraction method Project of forestry slope position information based on hyperspectral remote sensing technology With Sustainability Requirements

SUN Wei, F Zhongke, SU Yaocheng, S Kadaei - 2023 - researchsquare.com
In order to solve the project problems of low accuracy of extraction of forestry information,
small extraction area and incomplete extraction results in traditional methods, a forestry …