Results 81 to 90 of about 937,320 (261)
Supervised Classification Performance of Multispectral Images [PDF]
Journal of Computing, Volume 2, Issue 2, February 2010,
https://sites.google.com/site/journalofcomputing/, 2010 Nowadays government and private agencies use remote sensing imagery for a wide range of applications from military applications to farm development. The images may be a panchromatic, multispectral, hyperspectral or even ultraspectral of terra bytes. Remote sensing image classification is one amongst the most significant application worlds for remote ...
arxiv
Remote sensing in operational range management programs in Western Canada [PDF]
A pilot program carried out in Western Canada to test remote sensing under semi-operational conditions and display its applicability to operational range management programs was described.
Thompson, M. D.
core +1 more source
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework? [PDF]
arXiv, 2017 Recently, deep convolutional neural network (DCNN) achieved increasingly remarkable success and rapidly developed in the field of natural image recognition. Compared with the natural image, the scale of remote sensing image is larger and the scene and the object it represents are more macroscopic.
arxiv
A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery [PDF]
arXiv, 2020 With the development of remote sensing technology, the acquisition of remote sensing images is easier and easier, which provides sufficient data resources for the task of detecting remote sensing objects. However, how to detect objects quickly and accurately from many complex optical remote sensing images is a challenging hot issue.
arxiv
The hydrology of prehistoric farming systems in a central Arizona ecotone [PDF]
The prehistoric land use and water management in the semi-arid Southwest was examined. Remote sensing data, geology, hydrology and biology are discussed along with an evaluation of remote sensing contributions, recommendations for applications, and ...
Brew, D. +4 more
core +1 more source
RS-YOLOX: A High Precision Detector for Object Detection in Satellite Remote Sensing Images [PDF]
Automatic object detection by satellite remote sensing images is of great significance for resource exploration and natural disaster assessment. To solve existing problems in remote sensing image detection, this article proposes an improved YOLOX model for satellite remote sensing image automatic detection. This model is named RS-YOLOX.
arxiv +1 more source
Investigation related to multispectral imaging systems [PDF]
A summary of technical progress made during a five year research program directed toward the development of operational information systems based on multispectral sensing and the use of these systems in earth-resource survey applications is presented ...
Erickson, J. D., Nalepka, R. F.
core +1 more source
Geo-spatial Information Science, 2017 Pixel-based or texture-based classification technique individually does not yield an appropriate result in classifying the high spatial resolution remote sensing imagery since it comprises textured and non-textured regions.
Debasish Chakraborty +2 more
doaj +1 more source
Oceanologia, 2022 Tropical cyclone Amphan is the first super cyclone that happened in the north Indian Ocean in the last 20 years. In this work, multi-platform datasets were used to investigate the responses of the upper ocean to cyclone Amphan. The most striking response
Neethu Chacko, Chiranjivi Jayaram
doaj
Generic Knowledge Boosted Pre-training For Remote Sensing Images [PDF]
arXivDeep learning models are essential for scene classification, change detection, land cover segmentation, and other remote sensing image understanding tasks. Most backbones of existing remote sensing deep learning models are typically initialized by pre-trained weights obtained from ImageNet pre-training (IMP).
arxiv