application of satellite imagery and remote sensing techniques in agriculture and other natural resources has been approved by many studies. in this study two etm+ imagery data for may and september 2012 of astan ghods razavi great farm were acquired to identify the boundaries of lands cultivated with different crops coverage and to create crops maps of that farm. . to classify the images, the ...

Crop area estimation is a key element in crop production forecasting and estimation. Satellite imagery can provide valuable information for stratification purposes and can be used as a source of proxy variables for aposteriori correction of area estimates. In this regard, efficiency of crop area estimation using satellite imagery depends on the accuracy of crop classification. In this paper, we...

In order to let the end-users can directly downlink satellite imagery that they specify area of interest (AOI), One of key challenging technologies is how the on-board data distributor autonomously retrieves the imagery according to user’s command as well as simultaneously retrieves the other data sets, such as, temperature, moisture, geographic attribute data, e.g. street name, from other data...

With the era of commercial high-resolution earth observation satellites having dawned with the launch in September, 1999 of Ikonos-2, it is imperative that there is an understanding in the photogrammetric and remote sensing communities of the full metric potential of high-resolution satellite line scanner imagery. This paper discusses the metric exploitation of 1m satellite imagery, and specifi...

Satellite imagery classification is a challenging problem with many practical applications. In this paper, we designed a deep convolution neural network (DCNN) to classify the satellite imagery. The contributions of this paper are twofold — First, to cope with the large-scale variance in the satellite image, we introduced the inception module, which has multiple filters with different size at t...

Seeing the expected technical improvements as to the spatial and spectral resolution, satellite imagery could more and more provide a basis for complex information systems for recognizing and monitoring even small-scale and short-term structural features of interests within nuclear facilities, for instance construction of buildings, plant expansion, changes of the operational status, undergroun...

With the recent advancements in image processing techniques and the increasing availability of high resolution satellite imagery, one has an increased ability to characterize human attributes. This paper will study the effects that image fusion has on the classification of Quickbird satellite imagery over a rural area in Eastern India. Two panchromatic sharpening algorithms will be used and com...

We introduce a new large-scale dataset for the advancement of object detection techniques and overhead object detection research. This satellite imagery dataset enables research progress pertaining to four key computer vision frontiers.We utilize a novel process for geospatial category detection and bounding box annotation with three stages of quality control. Our data is collected from WorldVi...

Solar irradiance data are crucial to PV system performance analysis. Although lightmeters (or pyranometers) have been applied in utility-level solar farms, they are not economically feasible for commercial/residential-level solar sites. Publicly accessible data, such as meteorological satellite imagery, are potentially an ideal source to meet the emerging demand. This research applied satellite...