Results 11 to 20 of about 3,893,266 (383)
Applied and Environmental Soil Science, 2011 Remote sensing has shown a high potential in soil characteristics retrieving in the last three decades. Different methodologies have been proposed for the estimation of soil parameters, based on different remote sensing sensors and techniques (passive and active).
Zribi, Mehrez, Baghdadi, N., Nolin, M.
openaire +4 more sources
Deep learning in remote sensing: a review [PDF]
, 2017 Standing at the paradigm shift towards data-intensive science, machine learning techniques are becoming increasingly important. In particular, as a major breakthrough in the field, deep learning has proven as an extremely powerful tool in many fields ...
Fraundorfer, Friedrich +6 more
core +8 more sources
Remote Sensing, 2022 There was an error in the original publication [...]
Remote Sensing Editorial Office
doaj +1 more source
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data [PDF]
IEEE International Conference on Computer Vision, 2021 Remote sensing and automatic earth monitoring are key to solve global-scale challenges such as disaster prevention, land use monitoring, or tackling climate change.
Oscar Mañas +4 more
semanticscholar +1 more source
Transformers in Remote Sensing: A Survey [PDF]
Remote Sensing, 2022 Deep learning-based algorithms have seen a massive popularity in different areas of remote sensing image analysis over the past decade. Recently, transformer-based architectures, originally introduced in natural language processing, have pervaded ...
Abdulaziz Amer Aleissaee +6 more
semanticscholar +1 more source
3D remote sensing and urban remote sensing [PDF]
International Journal of Remote Sensing, 2016 The three-dimensional (3D) shape of the Earth is of major importance for many remote-sensing applications.
Mattia Crespi +3 more
openaire +2 more sources
Remote Sensing, 2020 Remote sensing image change detection (CD) is done to identify desired significant changes between bitemporal images. Given two co-registered images taken at different times, the illumination variations and misregistration errors overwhelm the real ...
Hao Chen, Zhenwei Shi
semanticscholar +1 more source
Drones, 2023 In recent years, UAV remote sensing has gradually attracted the attention of scientific researchers and industry, due to its broad application prospects. It has been widely used in agriculture, forestry, mining, and other industries. UAVs can be flexibly
Zhengxin Zhang, Lixue Zhu
semanticscholar +1 more source
Remote sensing in forestry: current challenges, considerations and directions
Forestry: An International Journal of Forest Research, 2023 Remote sensing has developed into an omnipresent technology in the scientific field of forestry and is also increasingly used in an operational fashion.
F. Fassnacht +3 more
semanticscholar +1 more source
Announcement: Remote Sensing 2017 Best Guest Editor Award
Remote Sensing, 2018 Guest Editors help invite many high-quality papers for Remote Sensing[...]
Remote Sensing Office
doaj +1 more source