Results 11 to 20 of about 204,035 (336)

Automatic Detection of Aquatic Weeds: A Case Study in the Guadiana River, Spain

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
The spread of aquatic invasive plants is a major concern in several zones of the world's geography. These plants, which are not part of the natural ecosystem, cause a negative impact to the environment, as well as to economy and society. In Spain,
Elena C. Rodriguez-Garlito   +2 more
doaj   +1 more source

Robust linear unmixing with enhanced constraint of classification for hyperspectral remote sensing imagery

open access: yesIET Image Processing, 2022
Although hyperspectral data, especially spaceborne images, are rich in spectral information, their spatial resolution is usually low due to the limitation of sensor design and other factors.
Haoyang Yu   +5 more
doaj   +1 more source

SGD-SM 2.0: an improved seamless global daily soil moisture long-term dataset from 2002 to 2022 [PDF]

open access: yesEarth System Science Data, 2022
The drawbacks of low-coverage rate in global land inevitably exist in satellite-based daily soil moisture products because of the satellite orbit covering scopes and the limitations of soil moisture retrieving models.
Q. Zhang   +4 more
doaj   +1 more source

Mapping Invasive Aquatic Plants in Sentinel-2 Images Using Convolutional Neural Networks Trained With Spectral Indices

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Multispectral images collected by the European Space Agency's Sentinel-2 satellite offer a powerful resource for accurately and efficiently mapping areas affected by the distribution of invasive aquatic plants.
Elena Cristina Rodriguez-Garlito   +2 more
doaj   +1 more source

Analysis of Remotely Sensed Images Through Social Media

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
During the past decades, the volume of big data available in remote sensing (RS) applications has grown significantly. In addition, a number of applications related to monitoring human activity are being developed based on this kind of data.
Alejandro Redondo   +5 more
doaj   +1 more source

Monitoring the Spatiotemporal Distribution of Invasive Aquatic Plants in the Guadiana River, Spain

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Monitoring the spatiotemporal distribution of invasive aquatic plants is a challenge in many regions worldwide. One of the most invasive species on Earth is the water hyacinth.
Elena C. Rodriguez-Garlito   +2 more
doaj   +1 more source

THE DETECTION OF CONCEALED TARGETS IN WOODLAND AREAS USING HYPERSPECTRAL IMAGERY [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Recent innovations in microelectronic and semiconductor technology enable the creation of smaller and economical hyperspectral cameras. A filter combined camera with advanced scanning module is a game changer that extends the application of miniature ...
S. A. Rodriguez Gonzalez   +6 more
doaj   +1 more source

Further results on dissimilarity spaces for hyperspectral images RF-CBIR [PDF]

open access: yes, 2013
Content-Based Image Retrieval (CBIR) systems are powerful search tools in image databases that have been little applied to hyperspectral images. Relevance feedback (RF) is an iterative process that uses machine learning techniques and user's feedback to ...
Datcu, Mihai   +2 more
core   +3 more sources

A new kernel method for hyperspectral image feature extraction [PDF]

open access: yes, 2017
Hyperspectral image provides abundant spectral information for remote discrimination of subtle differences in ground covers. However, the increasing spectral dimensions, as well as the information redundancy, make the analysis and interpretation of ...
Gao, Lianru   +3 more
core   +1 more source

Editorial for Special Issue “Advances in Hyperspectral Data Exploitation”

open access: yesRemote Sensing, 2022
Hyperspectral imaging (HSI) has emerged as a promising, advanced technology in remote sensing and has demonstrated great potential in the exploitation of a wide variety of data.
Chein-I Chang   +8 more
doaj   +1 more source

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