نتایج جستجو برای: irs 1d satellite

تعداد نتایج: 106932  

Journal: Desert 2018
A.R. Vahdati M.A. Hakimzadeh,

   Current study monitored Electerical Conductivity (EC) as soil salinity index and Organic Matter (OM) in the area of Harat in Yazd, Iran, through remote sensing technology with high spatial and spectral resolution. The images were selected from IRS, LISS III satellites between the years 2008 and 2012. After preprocessing and analyzing the images, the relationship between parameters of (EC) an...

Ali Purghaumi Hossein Purghaumi Reza Jaafari Sayed Jamaledin Khagehedin

Soil organic matter has positive consequences eht rof quality and productivityof soil and also environment, agricultural and biological sustainability and conservation ofbiodiversity and soil. Organic matter plays an important role in the physical and chemicalprocesses of soil and thus, it is of a great effect on the spectral characteristics of soil. Thisstudy was done in order to develop the m...

1999
VOLKER WALTER

This paper examines data from different sensors regarding their potential for an automatic change detection approach. After a brief discussion of the used approach, results are shown on examples of data from several sensors: scanned analogue aerial photos, an airborne digital line scanner (DPA camera system), the Indian satellite IRS-1C, the MOMS2P camera and from a laser scanning system as an ...

Journal: :International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 1994
Deba Prasad Mandal C. A. Murthy Sankar K. Pal

A multivalued (fuzzy) recognition system was formulated by Mandel d. al. which is capable of handling various imprecise inputs and provides multiple class choices to any input. In the present article, an application of the recognition system for detecting road­ like structures from lndian Remote Sensing satellite (IRS) imagery has been described. The concept of multiple choices of the recogniti...

Journal: :IEEE Trans. Systems, Man, and Cybernetics, Part A 1996
Deba Prasad Mandal C. A. Murthy Sankar K. Pal

The present work describes a method of analyzing Indian Remote Sensing (IRS) satellite imagery for detecting various man-made objects, namely, roads, bridges, airports, seaports, city area and townshiplindustrial areas. A multivalued recognition system has initially been used to classify the image pixels into six land cover types by providing multiple choices of classes. In order to identify ce...

Journal: :تحقیقات جغرافیایی 0
نجمه نجمی گروه جغرافیای طبیعی دانشگاه اصفهان عبدالله سیف گروه جغرافیای طبیعی دانشگاه اصفهان

karun river with a length of about 890 km is considered as a main river in the country. in this paper, types of karun’s screws regarding to the geometric factors of radius of curvature and chord length were identified by fitting circles with the arcs of the river’s axis. river’s arcs were classified into simple and compound screws. then, by formation of the database consist of topographic...

2013
Markus Törmä

Land cover of Finnish Lapland was classified to 16 land cover classes using optical IRS LISS, Spot XS and MODIS satellite images, ancillary GIS data and decision tree classifier. The aim of this study was to test decision tree classifier for land cover classification and study the effects of its parameters to classification result. In the best case, the overall accuracy was about 68% for all 16...

2014
Deba Prasad MandaI

A multivalued recognition system has been formulated recently by Mandai, Murthy and Pal which is eapable of handling various imprecise inputs and in providing multiple choices of classes corresponding to any input. In the present work, we have demonstrated an application of the recognition system for detecting the ill-defined roadlike structures from an Indian Remote Sensing (IRS) satellite ima...

1995
J. MAYO GREENBERG AIGEN LI CELIA X. MENDOZA-GÓMEZ WILLEM A. SCHUTTE PERRY A. GERAKINES

Infrared spectra have been obtained for laboratory residues of photoprocessed low-temperature ices which have been exposed to long-term solar ultraviolet radiation on the EURECA satellite. This is an analog to the ultraviolet processing of interstellar dust mantles in diffuse clouds after leaving molecular clouds. The 3.4 mm absorption features of these organic materials match those of the diff...

2006
B. RayChaudhuri nee Bhaumik

A methodology is proposed for extracting information on land cover based on hyperspectral reflectance data derived from satellite image, without supervising with ground truth. The reflectance percentage, being a characteristic feature of the ground object acts as an indirect guidance to the classification and hence the method is named semi-supervised classification. It is tried with IRS LISS IV...

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