Results 131 to 140 of about 352,126 (198)

MFPI-Net: A Multi-Scale Feature Perception and Interaction Network for Semantic Segmentation of Urban Remote Sensing Images. [PDF]

Sensors (Basel)
Song X, Chen M, Rao J, Luo Y, Lin Z, Zhang X, Li S, Hu X.   +7 more
europepmc   +1 more source

Spatially adaptive interaction network for semantic segmentation of high-resolution remote sensing images. [PDF]

Sci Rep
Song W, He H, Dai J, Jia G.
europepmc   +1 more source

A semi-supervised boundary segmentation network for remote sensing images. [PDF]

Sci Rep
Chen Y, Yang Z, Zhang L, Cai W.
europepmc   +1 more source

Multi-branch and multi-label tree species classification using deep learning for UAV aerial photography and Sentinel remote sensing images. [PDF]

Sci Rep
Qin T, Zhao Q.
europepmc   +1 more source

LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution. [PDF]

Sensors (Basel)
Fan X, Zhang Y, Peng Y, Li Q, Wei X, Wang J, Zou F.   +6 more
europepmc   +1 more source

Lightweight multiscale information aggregation network for land cover land use semantic segmentation from remote sensing images. [PDF]

Sci Rep
Said Y, Saidani O, Algarni AD, Algarni MH, Flah A.   +4 more
europepmc   +1 more source

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Remote sensing image synthesis

2010 IEEE International Geoscience and Remote Sensing Symposium, 2010
For remote sensing data, the testing analysis tools is difficult since the ground-truth data are not available in many cases. To address this issue, a novel method for image synthesis is presented for use as a evaluation test-bed. Given the scale-dependent, non-stationary nature of remotely sensed data, a new modeling approach that combines a ...
Ying Liu, Alexander Wong, Paul Fieguth
openaire   +1 more source

Remote-Sensing Image Coding

2006
This chapter describes a category of data-compression algorithms capable of preserving the scientific quality of remote-sensing data, yet allowing a considerable reduction of the transmission bandwidth. Lossless compression applied to remote-sensing images guarantees only a moderate reduction of the data volume, because of the intrinsic noisiness of ...
Bruno Aiazzi, Stefano Baronti, Cinzia Lastri   +2 more
openaire   +3 more sources

Imaging Spectrometry for Earth Remote Sensing

Science, 1985
Imaging spectrometry, a new technique for the remote sensing of the earth, is now technically feasible from aircraft and spacecraft. The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum.
A F, Goetz, G, Vane, J E, Solomon, B N, Rock   +3 more
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Remote Sensing Image Mining

2015
Remote sensing (RS) images are one of the main spatial data sources. The variability of image data types and their complex relationships are the main difficulties that face SDM. This chapter covers a combination of inductive learning and Bayesian classification to classify RS images, the use of rough sets to describe and classify images and extract ...
Deren Li, Shuliang Wang, Deyi Li
openaire   +1 more source