Results 31 to 40 of about 485,831 (293)

SATELLITE IMAGE CLASSIFICATION OF BUILDING DAMAGES USING AIRBORNE AND SATELLITE IMAGE SAMPLES IN A DEEP LEARNING APPROACH [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
The localization and detailed assessment of damaged buildings after a disastrous event is of utmost importance to guide response operations, recovery tasks or for insurance purposes. Several remote sensing platforms and sensors are currently used for the
D. Duarte, F. Nex, N. Kerle, G. Vosselman   +3 more
doaj   +1 more source

Analysis of Smoke Distribution in the Nusa Tenggara Islands Due to Forest and Land Fires

Buletin Fisika, 2022
This study analyzes the distribution of smoke in the Nusa Tenggara Islands due to forest and land fires. This study uses secondary data in September 2020, such as satellite image data and meteorological condition data, because in 2020, the Nusa Tenggara ...
Ryan Juliston Pangihutan Simanjuntak, Komang Ngurah Suarbawa, I Ketut Putra   +2 more
doaj   +1 more source

IMCLASS – A USER-TAILORED MACHINE LEARNING IMAGE CLASSIFICATION CHAIN FOR CHANGE DETECTION OR LANDCOVER MAPPING [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
With the increasing availability of satellite imagery at several spatial, spectral and temporal resolutions, the choice of the best image and the most appropriate method for object detection and classification of a broad range of land surface classes or ...
A. Déprez, A. Déprez, A. Puissant, A. Puissant, J.-P. Malet, J.-P. Malet, D. Michéa   +6 more
doaj   +1 more source

Satellite image classification and segmentation using non-additive entropy [PDF]

, 2014
Here we compare the Boltzmann-Gibbs-Shannon (standard) with the Tsallis entropy on the pattern recognition and segmentation of coloured images obtained by satellites, via "Google Earth".
Assirati, Lucas, Bruno, Odemir Martinez, Martinez, Alexandre Souto   +2 more
core   +2 more sources

Time-Series Change Detection Using KOMPSAT-5 Data with Statistical Homogeneous Pixel Selection Algorithm

Sensors
For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed.
Mirza Muhammad Waqar, Heein Yang, Rahmi Sukmawati, Sung-Ho Chae, Kwan-Young Oh   +4 more
doaj   +1 more source

Model-Based Satellite Image Fusion [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2008
A method is proposed for pixel-level satellite image fusion derived directly from a model of the imaging sensor. By design, the proposed method is spectrally consistent. It is argued that the proposed method needs regularization, as is the case for any method for this problem. A framework for pixel neighborhood regularization is presented.
Aanæs, Henrik, Sveinsson, J. R., Nielsen, Allan Aasbjerg, Bøvith, Thomas, Benediktsson, J. A.   +4 more
openaire   +2 more sources

Image Augmentation for Satellite Images

, 2022
This study proposes the use of generative models (GANs) for augmenting the EuroSAT dataset for the Land Use and Land Cover (LULC) Classification task. We used DCGAN and WGAN-GP to generate images for each class in the dataset. We then explored the effect of augmenting the original dataset by about 10% in each case on model performance.
Adedeji, Oluwadara, Owoade, Peter, Ajayi, Opeyemi, Arowolo, Olayiwola   +3 more
openaire   +2 more sources

Toward reduction of artifacts in fused images [PDF]

, 2011
Most fusion satellite image methodologies at pixel-level introduce false spatial details, i.e.artifacts, in the resulting fusedimages. In many cases, these artifacts appears because image fusion methods do not consider the differences in roughness or ...
Alonso, Alparone, Arduini, Bruzzone, Chavez, Choi, Conci, Consuelo Gonzalo, Do, Falconer, Gonzalez-Audicana, Gonzalo, Grazzini, Huang, Huiping, Karathanassi, Kruse, Li, Li, Lillo-Saavedra, Lillo-Saavedra, Mallat, Mandelbrot, Mario Lillo-Saavedra, Mitchell, Myint, Nencini, Octavio Lagos, Parrinello, Parrinello, Pentland, Pohl, Qu, Sun, Sun, Toet, Tu, Tu, Vijayaraj, Wang, Wang, Yang, Zhang, Zhou, Zribi   +44 more
core   +2 more sources

Satellite Image Dehazing

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: The images captured during haze, murkiness and raw weather has serious degradation in them. Image dehazing of a single image is a problematic affair. While already-in-use systems depend on high-quality images, some Computer Vision applications, such self-driving cars and image restoration, typically use input from data that is of poor quality.
openaire   +1 more source

An Automatic Accurate High-Resolution Satellite Image Retrieval Method

Remote Sensing, 2017
With the growing number of high-resolution satellite images, the traditional image retrieval method has become a bottleneck in the massive application of high-resolution satellite images because of the low degree of automation.
Zhiwei Fan, Wen Zhang, Dongying Zhang, Lingkui Meng   +3 more
doaj   +1 more source