Results 81 to 90 of about 352,126 (198)

Small Object Detection in Medium–Low-Resolution Remote Sensing Images Based on Degradation Reconstruction

Remote Sensing
With the continuous development of space remote sensing technology, the spatial resolution of visible remote sensing images has been continuously improved, which has promoted the progress of remote sensing target detection. However, due to the limitation
Yongxian Zhao, Haijiang Sun, Shuai Wang
doaj   +1 more source

Interactive initialization of heat flux parameters for numerical models using satellite temperature measurements [PDF]

Progress made in HCMM research, including testing the interactive minicomputer system and preparation of a paper on the analysis of regional scale soil moisture patterns, is summarized.
Carlson, T. N.
core   +1 more source

Remote sensing of Earth terrain [PDF]

Remote sensing of earth terrain is examined. The layered random medium model is used to investigate the fully polarimetric scattering of electromagnetic waves from vegetation. The model is used to interpret the measured data for vegetation fields such as
Arnold, David V., Han, Hsiu C., Kong, Jin AU, Lim, Harold H., Nghiem, Son V., Shin, Robert T., Yueh, Herng-Aung   +6 more
core   +1 more source

RSVQ-Diffusion Model for Text-to-Remote-Sensing Image Generation

Applied Sciences
Despite significant challenges, the text-guided remote sensing image generation method shows great potential in many practical applications such as generative adversarial networks in remote sensing tasks; generated images still face challenges such as ...
Xin Gao, Yao Fu, Xiaonan Jiang, Fanlu Wu, Yu Zhang, Tianjiao Fu, Chao Li, Junyan Pei   +7 more
doaj   +1 more source

Global geomorphology: Report of Working Group Number 1 [PDF]

Remote sensing was considered invaluable for seeing landforms in their regional context and in relationship to each other. Sequential images, such as those available from LANDSAT orbits provide a means of detecting landform change and the operation of ...
Douglas, I.
core   +1 more source

Satellite Multispectral Remote Sensing Image

, 2018
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

Enhancing object detection in remote sensing images with improved YOLOv8 model. [PDF]

Sci Rep
Hu Z, Chen W, Yang D, Wang Z, Wang P.
europepmc   +1 more source

Precise building semantic segmentation in remote sensing images via MR-DeepLabv3+ network. [PDF]

Sci Rep
Wang Y, Shang L, Liu Y, Sun Z, Lu Y, Shi X, Wang T, Liu Y.   +7 more
europepmc   +1 more source

Remote Sensing and Image Interpretation [PDF]

The Geographical Journal, 1980
John Wright, Thomas M. Lillesand, Ralph W. Kiefer   +2 more
openaire   +1 more source

MPLNet: Mamba prompt learning network for semantic segmentation of remote sensing images of traditional villages. [PDF]

PLoS One
Zhang C, Liu P, Teng J, Liu C.
europepmc   +1 more source