Results 81 to 90 of about 353,115 (201)
With climate extremes’ rising frequency and intensity, robust analytical tools are crucial to predict their impacts on terrestrial ecosystems. Machine learning techniques show promise but require well-structured, high-quality, and curated analysis-ready ...
Chaonan Ji +14 more
doaj +1 more source
Study and simulation of low rate video coding schemes [PDF]
The semiannual report is included. Topics covered include communication, information science, data compression, remote sensing, color mapped images, robust coding scheme for packet video, recursively indexed differential pulse code modulation, image ...
Chen, Yun-Chung +2 more
core +1 more source
Due to their low cost and portability, using entertainment devices for indoor mapping applications has become a hot research topic. However, the impact of user behavior on indoor mapping evaluation with entertainment devices is often overlooked in ...
Jiwei Hou +3 more
doaj +1 more source
Field Study for Remote Sensing: An instructor's manual [PDF]
The need for and value of field work (surface truthing) in the verification of image identification from high atitude infrared and multispectral space sensor images are discussed in this handbook which presents guidelines for developing instructional and
Hull, G. A., Wake, W. H.
core +1 more source
ConfigILM is an open-source Python library for rapid iterative development of image-language models for visual question answering in PyTorch. It provides a convenient implementation for seamlessly combining image and language models from two popular ...
Leonard Hackel +2 more
doaj +1 more source
The Network for Calibration and Validation in Earth Observation (NCAVEO) 2006 field campaign
This paper describes a remote sensing field campaign undertaken by the Network for Calibration and Validation in Earth Observation (NCAVEO) in southern England in June 2006.
Milton, E.J., NCAVEO Partnership
core
Explainable Earth Surface Forecasting Under Extreme Events
With climate change‐related extreme events on the rise, high‐dimensional Earth observation data present a unique opportunity for forecasting and understanding impacts on ecosystems.
Oscar J. Pellicer‐Valero +4 more
doaj +1 more source
Satellite Multispectral Remote Sensing Image
The spectral classes of the imagery are finally translated into the different feature types in the image interpretation process (image processing). Presently, classification of all feature types is a manual process. Local and global climatic variability and change is inevitable which makes satellite imagery redundant in a short span of time. Due to the
openaire +1 more source
Channel reconstruction and dual attention dynamic fusion for remote sensing image semantic segmentation. [PDF]
Wang X +8 more
europepmc +1 more source
HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark. [PDF]
Nikonorov A +7 more
europepmc +1 more source

