The use of an artificial neural network for detecting significant changes between remotely sensed images over regions of high variability

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.978136 ◽

2002 ◽

Cited By ~ 1

Author(s):

I. Feldberg ◽

N.S. Netanyahu ◽

M. Shoshany ◽

Y. Cohen

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Remotely Sensed ◽

High Variability ◽

Artificial Neural ◽

Remotely Sensed Images

Download Full-text

Knowledge-based artificial neural network and the application of it in understanding remotely sensed images

10.1117/12.441692 ◽

2001 ◽

Author(s):

Chunxiang Wu

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Remotely Sensed ◽

Knowledge Based ◽

Artificial Neural ◽

Remotely Sensed Images

Download Full-text

Application of artificial neural network approach and remotely sensed imagery for regional eco-environmental quality evaluation

Environmental Monitoring and Assessment ◽

10.1007/s10661-006-9307-5 ◽

2006 ◽

Vol 128 (1-3) ◽

pp. 217-229 ◽

Cited By ~ 6

Author(s):

Zhou Shi ◽

Hongyi Li

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Environmental Quality ◽

Quality Evaluation ◽

Remotely Sensed ◽

Network Approach ◽

Neural Network Approach ◽

Remotely Sensed Imagery ◽

Artificial Neural ◽

Artificial Neural Network Approach

Download Full-text

An artificial neural network (ANN) based software package for classification of remotely sensed data

International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts ◽

10.1016/s0148-9062(97)87468-2 ◽

1996 ◽

Vol 33 (8) ◽

pp. A364

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Software Package ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Artificial Neural ◽

Artificial Neural Network Ann

Download Full-text

An artificial neural network (ANN) based software package for classification of remotely sensed data

Computers & Geosciences ◽

10.1016/0098-3004(95)00059-3 ◽

1996 ◽

Vol 22 (1) ◽

pp. 81-87 ◽

Cited By ~ 12

Author(s):

K.K. Mohanty ◽

T.J. Majumdar

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Software Package ◽

Remotely Sensed ◽

Remotely Sensed Data ◽

Artificial Neural ◽

Artificial Neural Network Ann

Download Full-text

Modelling electrical conductivity of soil from backscattering coefficient of microwave remotely sensed data using artificial neural network

Geocarto International ◽

10.1080/10106049.2013.868040 ◽

2014 ◽

Vol 29 (8) ◽

pp. 842-859 ◽

Cited By ~ 1

Author(s):

Walaiporn Phonphan ◽

Nitin K. Tripathi ◽

Taravudh Tipdecho ◽

Apisit Eiumnoh

Keyword(s):

Neural Network ◽

Electrical Conductivity ◽

Artificial Neural Network ◽

Remotely Sensed ◽

Backscattering Coefficient ◽

Remotely Sensed Data ◽

Artificial Neural

Download Full-text

Artificial neural network correction of remotely sensed sandbar location

Marine Geology ◽

10.1016/s0025-3227(00)00056-6 ◽

2000 ◽

Vol 169 (1-2) ◽

pp. 137-160 ◽

Cited By ~ 33

Author(s):

K.S Kingston ◽

B.G Ruessink ◽

I.M.J van Enckevort ◽

M.A Davidson

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Remotely Sensed ◽

Artificial Neural

Download Full-text

Weighting Class Importance in Agricultural Crop Classification from Remotely Sensed Data with an Artificial Neural Network

Biometrical Journal ◽

10.1002/bimj.4710380206 ◽

1996 ◽

Vol 38 (2) ◽

pp. 181-193

Author(s):

G. M. Foody

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Remotely Sensed ◽

Agricultural Crop ◽

Remotely Sensed Data ◽

Crop Classification ◽

Artificial Neural

Download Full-text

Fully fuzzy supervised classification of land cover from remotely sensed imagery with an artificial neural network

Neural Computing and Applications ◽

10.1007/bf01424229 ◽

1997 ◽

Vol 5 (4) ◽

pp. 238-247 ◽

Cited By ~ 41

Author(s):

G. M. Foody

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Land Cover ◽

Supervised Classification ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Artificial Neural

Download Full-text

An artificial neural network model for estimating crop yields using remotely sensed information

International Journal of Remote Sensing ◽

10.1080/0143116031000150068 ◽

2004 ◽

Vol 25 (9) ◽

pp. 1723-1732 ◽

Cited By ~ 46

Author(s):

D. Jiang ◽

X. Yang ◽

N. Clinton ◽

N. Wang

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Model ◽

Neural Network Model ◽

Artificial Neural Network Model ◽

Crop Yields ◽

Remotely Sensed ◽

Artificial Neural

Download Full-text

Application of Artificial Neural Network to Distributed Precipitation Estimation Based on EOS/MODIS Remotely Sensed Imagery

Third International Conference on Natural Computation (ICNC 2007) ◽

10.1109/icnc.2007.247 ◽

2007 ◽

Author(s):

Qiuwen Zhang ◽

Cheng Wang ◽

Zhong Liu ◽

Fumio Shinohara ◽

Tatsuo Yamaoka

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Remotely Sensed ◽

Remotely Sensed Imagery ◽

Precipitation Estimation ◽

Artificial Neural ◽

Eos Modis

Download Full-text