Results 31 to 40 of about 3,858,794 (311)
Image Fusion Techniques in Remote Sensing
CoRR, 2014 Remote sensing image fusion is an effective way to use a large volume of data from multisensor images. Most earth satellites such as SPOT, Landsat 7, IKONOS and QuickBird provide both panchromatic (Pan) images at a higher spatial resolution and multispectral (MS) images at a lower spatial resolution and many remote sensing applications require both ...
Reham Gharbia +3 more
openaire +3 more sources
Neural Radiance Fields for High-Resolution Remote Sensing Novel View Synthesis
Remote Sensing, 2023 Remote sensing images play a crucial role in remote sensing target detection and 3D remote sensing modeling, and the enhancement of resolution holds significant application implications.
Junwei Lv +4 more
doaj +1 more source
A novel semi-fragile forensic watermarking scheme for remote sensing images [PDF]
, 2011 Peer-reviewedA semi-fragile watermarking scheme for multiple band images is presented. We propose to embed a mark into remote sensing images applying a tree structured vector quantization approach to the pixel signatures, instead of processing each band ...
Serra Ruiz, Jordi +3 more
core +1 more source
A Multi-scale features-based cloud detection method for Suomi-NPP VIIRS day and night imagery [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesCloud detection is a necessary step before the application of remote sensing images. However, most methods focus on cloud detection in daytime remote sensing images.
J. Li +5 more
doaj +1 more source
IEEE Access, 2020 Road edge detection from remote sensing images, as an important ground object type, plays an important role in people’s life and travel and urban planning and development, and extracting road information from remote sensing images has practical ...
Chen Guobin, Zengwu Sun, Li Zhang
doaj +1 more source
Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images
, 2022 Different scales of the objects pose a great challenge for the segmentation of remote sensing images of special scenes. This paper focuses on the problem of large-scale variations of the target objects via a dynamical receptive field of the deep network.
Haoran Zhao +3 more
core +1 more source
Remote Sensing, 2021 High spatial quality (HQ) optical remote sensing images are very useful for target detection, target recognition and image classification. Due to the influence of imaging equipment accuracy and atmospheric environment, HQ images are difficult to acquire,
Xubin Feng +3 more
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A wavelet-based method for the determination of the relative resolution between remotely sensed images [PDF]
, 2006 Spatial resolution is a key parameter of all remote sensing satellites and platforms. The nominal spatial resolution of satellites is a well-known characteristic because it is directly related to the area in ground that represents a pixel in the detector.
Fors Aldrich, Octavi +11 more
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Historical forest biomass dynamics modelled with Landsat spectral trajectories [PDF]
, 2014 Acknowledgements National Forest Inventory data are available online, provided by Ministerio de Agricultura, Alimentación y Medio Ambiente (España).
White, Joanne C. +3 more
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Long-Tailed Object Detection for Multimodal Remote Sensing Images
, 2023 With the rapid development of remote sensing technology, the application of convolutional neural networks in remote sensing object detection has become very widespread, and some multimodal feature fusion networks have also been proposed in recent years ...
Jiaxin Yang +4 more
core +1 more source