Results 61 to 70 of about 937,320 (261)

Deep Attention Unet: A Network Model with Global Feature Perception Ability [PDF]

open access: yesarXiv, 2023
Remote sensing image segmentation is a specific task of remote sensing image interpretation. A good remote sensing image segmentation algorithm can provide guidance for environmental protection, agricultural production, and urban construction. This paper proposes a new type of UNet image segmentation algorithm based on channel self attention mechanism ...
arxiv  

Feasibility of remote evaporation and precipitation estimates [PDF]

open access: yes, 1974
Remote sensing by means of stereo images obtained from flown cameras and scanners provides the potential to monitor the dynamics of pollutant mixing over large areas. Moreover, stereo technology may permit monitoring of pollutant concentration and mixing
Sadeh, W. Z.
core   +1 more source

A prototype web-based analysis platform for drought monitoring and early warning

open access: yesInternational Journal of Digital Earth, 2020
It has long been recognized that an effective drought monitoring and early warning system, which provides functions for real-time condition monitoring and prediction, risk assessment, information dissemination and response recommendation, is very ...
Mattijn van Hoek   +6 more
doaj   +1 more source

Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network

open access: yesCanadian Journal of Infectious Diseases and Medical Microbiology, 2022
Brucellosis is a chronic infectious disease caused by brucellae or other bacteria directly invading human body. Brucellosis presents the aggregation characteristics and periodic law of infectious diseases in temporal and spatial distribution.
Li Shen   +8 more
doaj   +1 more source

Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery

open access: yes, 2017
Thanks to recent advances in CNNs, solid improvements have been made in semantic segmentation of high resolution remote sensing imagery. However, most of the previous works have not fully taken into account the specific difficulties that exist in remote ...
Fujita, Aito   +4 more
core   +1 more source

Relationship between Mixed Pixel Spectral Value of Landsat 8 OLI Data and LAPAN Surveillance Aircraft (LSA) Aerial Photo Data

open access: yesForum Geografi, 2017
Medium resolution satellite data such as Landsat is very potential for mixed pixel (mixel) to occur. Indonesian land use diverse especially urban areas makes high potential mixel in the first Landsat pixel size of 30 meters x 30 meters on the actual ...
Nurwita Mustika Sari   +3 more
doaj   +1 more source

CHALLENGES IN OPERATIONS AND MAINTENANCE OF ANTARCTICA GROUND STATION FOR EARTH OBSERVATION SATELLITES [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Remote sensing and Geographical Information System (GIS) through Earth Observation (EO) Satellites have become most important tools for many of the societal applications of day-to-day life, during the past few decades of the 21st century, and this need ...
N. Mangala Mani   +5 more
doaj   +1 more source

Image Fusion Technologies In Commercial Remote Sensing Packages [PDF]

open access: yesJournal of Global Research in Computer Science, 4 (5), May 2013, 44-50, 2013
Several remote sensing software packages are used to the explicit purpose of analyzing and visualizing remotely sensed data, with the developing of remote sensing sensor technologies from last ten years. Accord-ing to literature, the remote sensing is still the lack of software tools for effective information extraction from remote sensing data.
arxiv  

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data [PDF]

open access: yesarXiv, 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. Although there exist vast amounts of remote sensing data, most of it remains unlabeled and thus inaccessible for supervised learning algorithms.
arxiv  

ESA activities in space laser sounding and ranging [PDF]

open access: yes, 1986
Laser remote sensing from space is undoubtedly one of the most promising means to obtain essential atmospheric and geophysical parameters on a global scale.
Lutz, H.
core   +1 more source

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